ASUSTeK COMPUTER INC. ProArt Studiobook W7604J3D_W7604J3D
Geekbench ML Score
3921
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | HdwJunkie |
| Upload Date | August 16 2024 12:12 PM |
| Views | 3 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1955
365.8 IPS |
|
|
Image Classification (F16)
|
100% |
2080
389.2 IPS |
|
|
Image Classification (I8)
|
99% |
3472
649.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1919
32.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1764
29.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2562
42.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
9135
11.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
9082
11.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
26039
31.5 IPS |
|
|
Object Detection (F32)
|
100% |
1459
108.9 IPS |
|
|
Object Detection (F16)
|
100% |
1933
144.3 IPS |
|
|
Object Detection (I8)
|
62% |
1784
133.2 IPS |
|
|
Face Detection (F32)
|
100% |
4377
52.0 IPS |
|
|
Face Detection (F16)
|
100% |
4442
52.8 IPS |
|
|
Face Detection (I8)
|
89% |
4284
50.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8723
67.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8745
67.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
14111
109.4 IPS |
|
|
Style Transfer (F32)
|
100% |
20886
27.5 IPS |
|
|
Style Transfer (F16)
|
100% |
20989
27.6 IPS |
|
|
Style Transfer (I8)
|
98% |
22772
30.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3884
138.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3844
137.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5042
180.0 IPS |
|
|
Text Classification (F32)
|
100% |
1339
1.92 KIPS |
|
|
Text Classification (F16)
|
100% |
1317
1.89 KIPS |
|
|
Text Classification (I8)
|
98% |
416
597.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1954
36.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1909
35.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2586
47.6 IPS |
