ASUS System Product Name
Geekbench ML Score
20940
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 21 2025 04:34 AM |
| Views | 7 |
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% |
12102
2.26 KIPS |
|
|
Image Classification (F16)
|
100% |
11973
2.24 KIPS |
|
|
Image Classification (I8)
|
100% |
9182
1.72 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13451
224.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
13116
219.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
12663
211.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
229968
278.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
237891
288.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
207856
251.7 IPS |
|
|
Object Detection (F32)
|
100% |
5553
414.6 IPS |
|
|
Object Detection (F16)
|
100% |
5330
397.9 IPS |
|
|
Object Detection (I8)
|
56% |
4976
371.5 IPS |
|
|
Face Detection (F32)
|
100% |
40737
484.4 IPS |
|
|
Face Detection (F16)
|
100% |
39386
468.3 IPS |
|
|
Face Detection (I8)
|
88% |
34096
405.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
63843
495.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
64290
498.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
50941
395.0 IPS |
|
|
Style Transfer (F32)
|
100% |
212274
279.2 IPS |
|
|
Style Transfer (F16)
|
100% |
216483
284.8 IPS |
|
|
Style Transfer (I8)
|
98% |
194407
255.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24064
859.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22645
808.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17138
612.1 IPS |
|
|
Text Classification (F32)
|
100% |
3446
4.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3535
5.08 KIPS |
|
|
Text Classification (I8)
|
98% |
1947
2.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
4081
75.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4082
75.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2270
41.8 IPS |
