ASUS System Product Name
Geekbench ML Score
21296
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 24 2025 05:50 AM |
| Views | 3 |
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% |
11635
2.18 KIPS |
|
|
Image Classification (F16)
|
100% |
11834
2.21 KIPS |
|
|
Image Classification (I8)
|
100% |
9736
1.82 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14187
236.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
14060
234.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
12856
214.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
224467
271.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
261973
317.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
209730
254.0 IPS |
|
|
Object Detection (F32)
|
100% |
5391
402.5 IPS |
|
|
Object Detection (F16)
|
100% |
5336
398.4 IPS |
|
|
Object Detection (I8)
|
56% |
4624
345.2 IPS |
|
|
Face Detection (F32)
|
100% |
39615
471.0 IPS |
|
|
Face Detection (F16)
|
100% |
40446
480.9 IPS |
|
|
Face Detection (I8)
|
88% |
34244
407.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
61932
480.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
66800
518.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
52172
404.6 IPS |
|
|
Style Transfer (F32)
|
100% |
228396
300.4 IPS |
|
|
Style Transfer (F16)
|
100% |
236739
311.4 IPS |
|
|
Style Transfer (I8)
|
98% |
212270
279.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24071
859.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23852
851.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18530
661.8 IPS |
|
|
Text Classification (F32)
|
100% |
3361
4.83 KIPS |
|
|
Text Classification (F16)
|
100% |
3400
4.89 KIPS |
|
|
Text Classification (I8)
|
98% |
1887
2.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
4199
77.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4094
75.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2338
43.0 IPS |
