ASUS System Product Name
Geekbench ML Score
26489
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 05 2025 09:08 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 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 9070 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
14577
2.73 KIPS |
|
|
Image Classification (F16)
|
100% |
14733
2.76 KIPS |
|
|
Image Classification (I8)
|
100% |
13808
2.58 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12737
212.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
20064
335.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
18819
314.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
192812
233.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
221642
268.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
174177
210.9 IPS |
|
|
Object Detection (F32)
|
100% |
6878
513.5 IPS |
|
|
Object Detection (F16)
|
100% |
7355
549.1 IPS |
|
|
Object Detection (I8)
|
56% |
7047
526.1 IPS |
|
|
Face Detection (F32)
|
100% |
39083
464.7 IPS |
|
|
Face Detection (F16)
|
100% |
44010
523.3 IPS |
|
|
Face Detection (I8)
|
89% |
36416
433.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
73890
573.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
75084
582.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
61241
474.9 IPS |
|
|
Style Transfer (F32)
|
100% |
337334
443.7 IPS |
|
|
Style Transfer (F16)
|
100% |
312213
410.7 IPS |
|
|
Style Transfer (I8)
|
98% |
308075
405.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
34336
1.23 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
45353
1.62 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
21012
750.4 IPS |
|
|
Text Classification (F32)
|
100% |
3608
5.19 KIPS |
|
|
Text Classification (F16)
|
100% |
4173
6.00 KIPS |
|
|
Text Classification (I8)
|
98% |
3059
4.40 KIPS |
|
|
Machine Translation (F32)
|
100% |
5663
104.2 IPS |
|
|
Machine Translation (F16)
|
100% |
6014
110.7 IPS |
|
|
Machine Translation (I8)
|
70% |
3670
67.5 IPS |
