ASUS System Product Name
Geekbench ML Score
20988
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 12 2024 08:57 AM |
| Views | 2 |
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% |
11905
2.23 KIPS |
|
|
Image Classification (F16)
|
100% |
11984
2.24 KIPS |
|
|
Image Classification (I8)
|
100% |
9806
1.84 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13033
217.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
14062
234.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
12973
216.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
228498
276.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
234533
284.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
204101
247.2 IPS |
|
|
Object Detection (F32)
|
100% |
5048
376.9 IPS |
|
|
Object Detection (F16)
|
100% |
5664
422.8 IPS |
|
|
Object Detection (I8)
|
56% |
4751
354.7 IPS |
|
|
Face Detection (F32)
|
100% |
39685
471.9 IPS |
|
|
Face Detection (F16)
|
100% |
39621
471.1 IPS |
|
|
Face Detection (I8)
|
88% |
33375
396.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
64143
497.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
62870
487.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
51169
396.8 IPS |
|
|
Style Transfer (F32)
|
100% |
229881
302.4 IPS |
|
|
Style Transfer (F16)
|
100% |
224901
295.8 IPS |
|
|
Style Transfer (I8)
|
98% |
207001
272.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22702
810.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23388
835.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17558
627.1 IPS |
|
|
Text Classification (F32)
|
100% |
3346
4.81 KIPS |
|
|
Text Classification (F16)
|
100% |
3304
4.75 KIPS |
|
|
Text Classification (I8)
|
98% |
1926
2.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
4165
76.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4147
76.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2324
42.8 IPS |
