ASUS System Product Name
Geekbench ML Score
21067
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 05:28 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 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% |
12114
2.27 KIPS |
|
|
Image Classification (F16)
|
100% |
11928
2.23 KIPS |
|
|
Image Classification (I8)
|
100% |
9711
1.82 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13787
230.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
13443
224.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12631
211.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
226114
273.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
236617
286.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
207069
250.8 IPS |
|
|
Object Detection (F32)
|
100% |
5127
382.8 IPS |
|
|
Object Detection (F16)
|
100% |
5360
400.1 IPS |
|
|
Object Detection (I8)
|
56% |
4682
349.6 IPS |
|
|
Face Detection (F32)
|
100% |
40257
478.7 IPS |
|
|
Face Detection (F16)
|
100% |
40218
478.2 IPS |
|
|
Face Detection (I8)
|
88% |
33576
399.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
70272
545.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
65966
511.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
50702
393.2 IPS |
|
|
Style Transfer (F32)
|
100% |
219300
288.5 IPS |
|
|
Style Transfer (F16)
|
100% |
223040
293.4 IPS |
|
|
Style Transfer (I8)
|
98% |
210592
277.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23138
826.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23485
838.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17858
637.8 IPS |
|
|
Text Classification (F32)
|
100% |
3406
4.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3469
4.99 KIPS |
|
|
Text Classification (I8)
|
98% |
1927
2.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
4062
74.8 IPS |
|
|
Machine Translation (F16)
|
100% |
4094
75.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2258
41.6 IPS |
