ASUS System Product Name
Geekbench ML Score
21380
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 25 2025 05:57 AM |
| Views | 5 |
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% |
11573
2.17 KIPS |
|
|
Image Classification (F16)
|
100% |
12075
2.26 KIPS |
|
|
Image Classification (I8)
|
100% |
10142
1.90 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13647
227.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
13788
230.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
12461
208.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
232500
281.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
235268
284.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
199500
241.6 IPS |
|
|
Object Detection (F32)
|
100% |
5632
420.5 IPS |
|
|
Object Detection (F16)
|
100% |
5643
421.3 IPS |
|
|
Object Detection (I8)
|
56% |
4643
346.6 IPS |
|
|
Face Detection (F32)
|
100% |
40546
482.1 IPS |
|
|
Face Detection (F16)
|
100% |
39793
473.1 IPS |
|
|
Face Detection (I8)
|
88% |
34087
405.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
66141
512.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
66837
518.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
51259
397.5 IPS |
|
|
Style Transfer (F32)
|
100% |
225247
296.3 IPS |
|
|
Style Transfer (F16)
|
100% |
224808
295.7 IPS |
|
|
Style Transfer (I8)
|
98% |
216730
285.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23883
853.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25484
910.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17581
627.9 IPS |
|
|
Text Classification (F32)
|
100% |
3541
5.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3538
5.08 KIPS |
|
|
Text Classification (I8)
|
98% |
2000
2.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
4170
76.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4158
76.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2337
43.0 IPS |
