ASUS System Product Name
Geekbench ML Score
23251
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 18 2024 01:44 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 96.0 MB x 1 |
| 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% |
13045
2.44 KIPS |
|
|
Image Classification (F16)
|
100% |
13020
2.44 KIPS |
|
|
Image Classification (I8)
|
100% |
11457
2.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15465
258.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
15082
251.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
14074
235.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
250825
303.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
252459
305.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
221084
267.7 IPS |
|
|
Object Detection (F32)
|
100% |
6334
472.9 IPS |
|
|
Object Detection (F16)
|
100% |
6411
478.6 IPS |
|
|
Object Detection (I8)
|
56% |
5006
373.7 IPS |
|
|
Face Detection (F32)
|
100% |
41207
490.0 IPS |
|
|
Face Detection (F16)
|
100% |
40993
487.4 IPS |
|
|
Face Detection (I8)
|
88% |
35706
424.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
68875
534.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
67797
525.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
54671
424.0 IPS |
|
|
Style Transfer (F32)
|
100% |
225680
296.9 IPS |
|
|
Style Transfer (F16)
|
100% |
227965
299.9 IPS |
|
|
Style Transfer (I8)
|
98% |
202046
265.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
25779
920.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24750
883.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
20220
722.1 IPS |
|
|
Text Classification (F32)
|
100% |
3929
5.65 KIPS |
|
|
Text Classification (F16)
|
100% |
4014
5.77 KIPS |
|
|
Text Classification (I8)
|
98% |
2608
3.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
4721
86.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4630
85.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2920
53.7 IPS |
