ASUS System Product Name
Geekbench ML Score
20967
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 06 2024 09:57 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% |
12193
2.28 KIPS |
|
|
Image Classification (F16)
|
100% |
12226
2.29 KIPS |
|
|
Image Classification (I8)
|
100% |
9763
1.83 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13683
228.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
13654
228.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
12109
202.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
239402
289.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
235510
285.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
205544
248.9 IPS |
|
|
Object Detection (F32)
|
100% |
5507
411.1 IPS |
|
|
Object Detection (F16)
|
100% |
5421
404.7 IPS |
|
|
Object Detection (I8)
|
56% |
4673
348.9 IPS |
|
|
Face Detection (F32)
|
100% |
40033
476.0 IPS |
|
|
Face Detection (F16)
|
100% |
39997
475.6 IPS |
|
|
Face Detection (I8)
|
88% |
33691
400.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
63800
494.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
61913
480.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
50234
389.6 IPS |
|
|
Style Transfer (F32)
|
100% |
225791
297.0 IPS |
|
|
Style Transfer (F16)
|
100% |
218803
287.8 IPS |
|
|
Style Transfer (I8)
|
98% |
206349
271.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23229
829.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22834
815.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17702
632.2 IPS |
|
|
Text Classification (F32)
|
100% |
3270
4.70 KIPS |
|
|
Text Classification (F16)
|
100% |
3349
4.81 KIPS |
|
|
Text Classification (I8)
|
98% |
1908
2.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
3986
73.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4178
76.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2333
42.9 IPS |
