ASUS System Product Name
Geekbench ML Score
21139
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 09:44 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 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12073
2.26 KIPS |
|
|
Image Classification (F16)
|
100% |
12105
2.27 KIPS |
|
|
Image Classification (I8)
|
100% |
9739
1.82 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13787
230.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
13683
228.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12466
208.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
235995
285.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
235712
285.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
211319
255.9 IPS |
|
|
Object Detection (F32)
|
100% |
5390
402.4 IPS |
|
|
Object Detection (F16)
|
100% |
5594
417.6 IPS |
|
|
Object Detection (I8)
|
56% |
4820
359.8 IPS |
|
|
Face Detection (F32)
|
100% |
39409
468.6 IPS |
|
|
Face Detection (F16)
|
100% |
39038
464.2 IPS |
|
|
Face Detection (I8)
|
88% |
33505
398.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
65612
508.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
65121
505.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
51274
397.6 IPS |
|
|
Style Transfer (F32)
|
100% |
226105
297.4 IPS |
|
|
Style Transfer (F16)
|
100% |
218940
288.0 IPS |
|
|
Style Transfer (I8)
|
98% |
203357
267.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23389
835.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22039
787.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17494
624.8 IPS |
|
|
Text Classification (F32)
|
100% |
3436
4.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3495
5.02 KIPS |
|
|
Text Classification (I8)
|
98% |
1935
2.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
4195
77.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4209
77.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2352
43.3 IPS |
