ASUS System Product Name
Geekbench ML Score
21013
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 18 2024 06:14 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% |
11920
2.23 KIPS |
|
|
Image Classification (F16)
|
100% |
11849
2.22 KIPS |
|
|
Image Classification (I8)
|
100% |
9842
1.84 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13799
230.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
13938
232.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
13069
218.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
223822
271.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
221285
268.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
206299
249.8 IPS |
|
|
Object Detection (F32)
|
100% |
5275
393.8 IPS |
|
|
Object Detection (F16)
|
100% |
5120
382.3 IPS |
|
|
Object Detection (I8)
|
56% |
4582
342.1 IPS |
|
|
Face Detection (F32)
|
100% |
40634
483.2 IPS |
|
|
Face Detection (F16)
|
100% |
40165
477.6 IPS |
|
|
Face Detection (I8)
|
88% |
33837
402.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
64766
502.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
64163
497.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
49541
384.2 IPS |
|
|
Style Transfer (F32)
|
100% |
238250
313.4 IPS |
|
|
Style Transfer (F16)
|
100% |
224246
295.0 IPS |
|
|
Style Transfer (I8)
|
98% |
202212
266.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22644
808.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24747
883.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18288
653.1 IPS |
|
|
Text Classification (F32)
|
100% |
3313
4.76 KIPS |
|
|
Text Classification (F16)
|
100% |
3354
4.82 KIPS |
|
|
Text Classification (I8)
|
98% |
1890
2.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
4183
77.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4180
76.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2317
42.6 IPS |
