ASUS System Product Name
Geekbench ML Score
21286
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 07 2025 05:19 AM |
| Views | 3 |
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% |
12046
2.25 KIPS |
|
|
Image Classification (F16)
|
100% |
12350
2.31 KIPS |
|
|
Image Classification (I8)
|
100% |
9941
1.86 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13974
233.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
14101
235.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12846
214.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
238235
288.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
229100
277.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
210925
255.4 IPS |
|
|
Object Detection (F32)
|
100% |
5358
400.0 IPS |
|
|
Object Detection (F16)
|
100% |
5277
394.0 IPS |
|
|
Object Detection (I8)
|
56% |
4741
353.9 IPS |
|
|
Face Detection (F32)
|
100% |
39488
469.5 IPS |
|
|
Face Detection (F16)
|
100% |
39423
468.8 IPS |
|
|
Face Detection (I8)
|
88% |
33646
400.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
67401
522.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
66137
512.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
50782
393.8 IPS |
|
|
Style Transfer (F32)
|
100% |
234182
308.0 IPS |
|
|
Style Transfer (F16)
|
100% |
238577
313.8 IPS |
|
|
Style Transfer (I8)
|
98% |
205568
270.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23001
821.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22581
806.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17932
640.4 IPS |
|
|
Text Classification (F32)
|
100% |
3505
5.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3491
5.02 KIPS |
|
|
Text Classification (I8)
|
98% |
1942
2.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
4214
77.6 IPS |
|
|
Machine Translation (F16)
|
100% |
4127
76.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2302
42.4 IPS |
