ASUS System Product Name
Geekbench ML Score
19389
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 16 2025 06:09 AM |
| Views | 10 |
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% |
11376
2.13 KIPS |
|
|
Image Classification (F16)
|
100% |
11568
2.16 KIPS |
|
|
Image Classification (I8)
|
100% |
9987
1.87 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13993
233.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
14404
240.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
13368
223.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
119105
144.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
121667
147.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
109797
133.0 IPS |
|
|
Object Detection (F32)
|
100% |
5819
434.4 IPS |
|
|
Object Detection (F16)
|
100% |
5860
437.5 IPS |
|
|
Object Detection (I8)
|
62% |
5274
393.7 IPS |
|
|
Face Detection (F32)
|
100% |
25656
305.0 IPS |
|
|
Face Detection (F16)
|
100% |
26803
318.7 IPS |
|
|
Face Detection (I8)
|
89% |
18625
221.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
53688
416.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
53309
413.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
42747
331.5 IPS |
|
|
Style Transfer (F32)
|
100% |
191245
251.6 IPS |
|
|
Style Transfer (F16)
|
100% |
205544
270.4 IPS |
|
|
Style Transfer (I8)
|
98% |
168265
221.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26662
952.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26743
955.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18805
671.6 IPS |
|
|
Text Classification (F32)
|
100% |
3685
5.30 KIPS |
|
|
Text Classification (F16)
|
100% |
3870
5.56 KIPS |
|
|
Text Classification (I8)
|
98% |
2505
3.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
5259
96.8 IPS |
|
|
Machine Translation (F16)
|
100% |
5140
94.6 IPS |
|
|
Machine Translation (I8)
|
70% |
3114
57.3 IPS |
