ASUS System Product Name
Geekbench ML Score
18938
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 16 2025 06:08 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| 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 9060 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9873
1.85 KIPS |
|
|
Image Classification (F16)
|
100% |
11444
2.14 KIPS |
|
|
Image Classification (I8)
|
100% |
9159
1.71 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9096
151.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
14340
239.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12228
204.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
119296
144.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
123205
149.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
108417
131.3 IPS |
|
|
Object Detection (F32)
|
100% |
5236
390.9 IPS |
|
|
Object Detection (F16)
|
100% |
5745
428.9 IPS |
|
|
Object Detection (I8)
|
62% |
5195
387.9 IPS |
|
|
Face Detection (F32)
|
100% |
25157
299.1 IPS |
|
|
Face Detection (F16)
|
100% |
26453
314.5 IPS |
|
|
Face Detection (I8)
|
89% |
20549
244.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
51751
401.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
53726
416.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
43134
334.5 IPS |
|
|
Style Transfer (F32)
|
100% |
202462
266.3 IPS |
|
|
Style Transfer (F16)
|
100% |
202092
265.8 IPS |
|
|
Style Transfer (I8)
|
98% |
171257
225.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
29860
1.07 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32437
1.16 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
25147
898.1 IPS |
|
|
Text Classification (F32)
|
100% |
3257
4.68 KIPS |
|
|
Text Classification (F16)
|
100% |
3453
4.96 KIPS |
|
|
Text Classification (I8)
|
98% |
2333
3.35 KIPS |
|
|
Machine Translation (F32)
|
100% |
4538
83.5 IPS |
|
|
Machine Translation (F16)
|
100% |
5240
96.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2915
53.6 IPS |
