ASUS System Product Name
Geekbench ML Score
19825
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 29 2025 11:59 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 9060 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11567
2.16 KIPS |
|
|
Image Classification (F16)
|
100% |
11150
2.09 KIPS |
|
|
Image Classification (I8)
|
100% |
9925
1.86 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14591
243.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
14522
242.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
13145
219.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
123269
149.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
122361
148.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
105665
128.0 IPS |
|
|
Object Detection (F32)
|
100% |
5853
437.0 IPS |
|
|
Object Detection (F16)
|
100% |
5808
433.6 IPS |
|
|
Object Detection (I8)
|
62% |
5325
397.5 IPS |
|
|
Face Detection (F32)
|
100% |
26622
316.5 IPS |
|
|
Face Detection (F16)
|
100% |
26453
314.5 IPS |
|
|
Face Detection (I8)
|
89% |
20940
249.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
54515
422.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
55082
427.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
42632
330.6 IPS |
|
|
Style Transfer (F32)
|
100% |
197709
260.1 IPS |
|
|
Style Transfer (F16)
|
100% |
206513
271.7 IPS |
|
|
Style Transfer (I8)
|
98% |
173908
228.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21452
766.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
30370
1.08 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
27041
965.7 IPS |
|
|
Text Classification (F32)
|
100% |
3894
5.60 KIPS |
|
|
Text Classification (F16)
|
100% |
3867
5.56 KIPS |
|
|
Text Classification (I8)
|
98% |
2490
3.58 KIPS |
|
|
Machine Translation (F32)
|
100% |
5380
99.0 IPS |
|
|
Machine Translation (F16)
|
100% |
5385
99.1 IPS |
|
|
Machine Translation (I8)
|
70% |
3128
57.6 IPS |
