ASUSTeK COMPUTER INC. ProArt Studiobook W7604J3D_W7604J3D
Geekbench ML Score
14050
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | HdwJunkie |
| Upload Date | August 16 2024 12:15 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ProArt Studiobook W7604J3D_W7604J3D |
| Motherboard | ASUSTeK COMPUTER INC. W7604J3D |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13980HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5759
1.08 KIPS |
|
|
Image Classification (F16)
|
100% |
7225
1.35 KIPS |
|
|
Image Classification (I8)
|
100% |
6273
1.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10865
181.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
10390
173.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
9668
161.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
95472
115.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
99272
120.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
88065
106.6 IPS |
|
|
Object Detection (F32)
|
100% |
5056
377.5 IPS |
|
|
Object Detection (F16)
|
100% |
4956
370.0 IPS |
|
|
Object Detection (I8)
|
63% |
4849
362.0 IPS |
|
|
Face Detection (F32)
|
100% |
17926
213.1 IPS |
|
|
Face Detection (F16)
|
100% |
17310
205.8 IPS |
|
|
Face Detection (I8)
|
89% |
15316
182.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
40174
311.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
38335
297.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
32790
254.3 IPS |
|
|
Style Transfer (F32)
|
100% |
143828
189.2 IPS |
|
|
Style Transfer (F16)
|
100% |
152376
200.4 IPS |
|
|
Style Transfer (I8)
|
98% |
137219
180.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
25239
901.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18674
666.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16444
587.3 IPS |
|
|
Text Classification (F32)
|
100% |
2622
3.77 KIPS |
|
|
Text Classification (F16)
|
100% |
2637
3.79 KIPS |
|
|
Text Classification (I8)
|
98% |
1323
1.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
3266
60.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3084
56.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1812
33.3 IPS |
