ASUS System Product Name
Geekbench ML Score
21006
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 10:19 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% |
12250
2.29 KIPS |
|
|
Image Classification (F16)
|
100% |
12387
2.32 KIPS |
|
|
Image Classification (I8)
|
100% |
9992
1.87 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13814
230.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
14227
237.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
12965
216.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
233117
282.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
241813
292.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
198103
239.9 IPS |
|
|
Object Detection (F32)
|
100% |
5033
375.7 IPS |
|
|
Object Detection (F16)
|
100% |
5043
376.5 IPS |
|
|
Object Detection (I8)
|
56% |
5161
385.3 IPS |
|
|
Face Detection (F32)
|
100% |
38846
461.9 IPS |
|
|
Face Detection (F16)
|
100% |
39574
470.5 IPS |
|
|
Face Detection (I8)
|
88% |
33347
396.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
63579
493.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
65194
505.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
49860
386.7 IPS |
|
|
Style Transfer (F32)
|
100% |
224566
295.4 IPS |
|
|
Style Transfer (F16)
|
100% |
229888
302.4 IPS |
|
|
Style Transfer (I8)
|
98% |
213933
281.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24078
859.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22596
807.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17452
623.3 IPS |
|
|
Text Classification (F32)
|
100% |
3372
4.85 KIPS |
|
|
Text Classification (F16)
|
100% |
3261
4.69 KIPS |
|
|
Text Classification (I8)
|
98% |
1856
2.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
4073
74.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3861
71.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2325
42.8 IPS |
