ASUS System Product Name
Geekbench ML Score
10775
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 03:04 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.60 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 | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 5700 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6277
1.17 KIPS |
|
|
Image Classification (F16)
|
100% |
6297
1.18 KIPS |
|
|
Image Classification (I8)
|
99% |
5227
978.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
6404
107.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
6381
106.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
5761
96.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
92563
112.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
92244
111.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
74252
89.9 IPS |
|
|
Object Detection (F32)
|
100% |
2807
209.5 IPS |
|
|
Object Detection (F16)
|
100% |
2811
209.8 IPS |
|
|
Object Detection (I8)
|
67% |
2880
215.0 IPS |
|
|
Face Detection (F32)
|
100% |
18452
219.4 IPS |
|
|
Face Detection (F16)
|
100% |
18439
219.2 IPS |
|
|
Face Detection (I8)
|
89% |
14619
173.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
34330
266.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
32166
249.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
23857
185.0 IPS |
|
|
Style Transfer (F32)
|
100% |
96048
126.3 IPS |
|
|
Style Transfer (F16)
|
100% |
94825
124.7 IPS |
|
|
Style Transfer (I8)
|
98% |
83144
109.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11109
396.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11007
393.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7517
268.5 IPS |
|
|
Text Classification (F32)
|
100% |
1709
2.46 KIPS |
|
|
Text Classification (F16)
|
100% |
1717
2.47 KIPS |
|
|
Text Classification (I8)
|
98% |
1223
1.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
4020
74.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4140
76.2 IPS |
|
|
Machine Translation (I8)
|
69% |
2465
45.4 IPS |
