ASUS System Product Name
Geekbench ML Score
27331
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 10:18 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% |
14184
2.65 KIPS |
|
|
Image Classification (F16)
|
100% |
15448
2.89 KIPS |
|
|
Image Classification (I8)
|
100% |
13758
2.57 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18867
315.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
20577
343.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
19192
320.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
200377
242.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
206257
249.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
198013
239.8 IPS |
|
|
Object Detection (F32)
|
100% |
6726
502.2 IPS |
|
|
Object Detection (F16)
|
100% |
6686
499.2 IPS |
|
|
Object Detection (I8)
|
56% |
6453
481.7 IPS |
|
|
Face Detection (F32)
|
100% |
42167
501.4 IPS |
|
|
Face Detection (F16)
|
100% |
44163
525.1 IPS |
|
|
Face Detection (I8)
|
89% |
36568
434.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
74513
577.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
74103
574.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
61454
476.6 IPS |
|
|
Style Transfer (F32)
|
100% |
297514
391.4 IPS |
|
|
Style Transfer (F16)
|
100% |
322189
423.8 IPS |
|
|
Style Transfer (I8)
|
98% |
289257
380.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
36084
1.29 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
42799
1.53 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
37249
1.33 KIPS |
|
|
Text Classification (F32)
|
100% |
3954
5.68 KIPS |
|
|
Text Classification (F16)
|
100% |
4356
6.26 KIPS |
|
|
Text Classification (I8)
|
98% |
2609
3.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
6029
110.9 IPS |
|
|
Machine Translation (F16)
|
100% |
6159
113.3 IPS |
|
|
Machine Translation (I8)
|
70% |
3837
70.6 IPS |
