ASUS System Product Name
Geekbench ML Score
21359
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 08 2024 05:26 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12172
2.28 KIPS |
|
|
Image Classification (F16)
|
100% |
12055
2.26 KIPS |
|
|
Image Classification (I8)
|
100% |
9897
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14435
241.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
14350
239.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
13256
221.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
232434
281.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
226183
273.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
207303
251.0 IPS |
|
|
Object Detection (F32)
|
100% |
5590
417.3 IPS |
|
|
Object Detection (F16)
|
100% |
5497
410.4 IPS |
|
|
Object Detection (I8)
|
56% |
4813
359.4 IPS |
|
|
Face Detection (F32)
|
100% |
39927
474.7 IPS |
|
|
Face Detection (F16)
|
100% |
40260
478.7 IPS |
|
|
Face Detection (I8)
|
88% |
33802
401.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
63927
495.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
67641
524.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
49718
385.6 IPS |
|
|
Style Transfer (F32)
|
100% |
225662
296.8 IPS |
|
|
Style Transfer (F16)
|
100% |
228181
300.2 IPS |
|
|
Style Transfer (I8)
|
98% |
210425
276.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
25536
912.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23410
836.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18475
659.8 IPS |
|
|
Text Classification (F32)
|
100% |
3329
4.78 KIPS |
|
|
Text Classification (F16)
|
100% |
3291
4.73 KIPS |
|
|
Text Classification (I8)
|
98% |
1934
2.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
4194
77.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4166
76.7 IPS |
|
|
Machine Translation (I8)
|
70% |
2320
42.7 IPS |
