ASUS System Product Name
Geekbench ML Score
5222
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 22 2024 07:55 PM |
| 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 X870E HERO |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2553
477.8 IPS |
|
|
Image Classification (F16)
|
100% |
2570
480.9 IPS |
|
|
Image Classification (I8)
|
99% |
5574
1.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2408
40.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2391
39.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3545
59.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
8176
9.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
8201
9.93 IPS |
|
|
Pose Estimation (I8)
|
100% |
26929
32.6 IPS |
|
|
Object Detection (F32)
|
100% |
2542
189.8 IPS |
|
|
Object Detection (F16)
|
100% |
2601
194.2 IPS |
|
|
Object Detection (I8)
|
62% |
2596
193.8 IPS |
|
|
Face Detection (F32)
|
100% |
6607
78.6 IPS |
|
|
Face Detection (F16)
|
100% |
6822
81.1 IPS |
|
|
Face Detection (I8)
|
89% |
7402
88.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
9949
77.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
9560
74.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
18521
143.6 IPS |
|
|
Style Transfer (F32)
|
100% |
19644
25.8 IPS |
|
|
Style Transfer (F16)
|
100% |
20492
27.0 IPS |
|
|
Style Transfer (I8)
|
98% |
30565
40.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3855
137.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4004
143.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4941
176.5 IPS |
|
|
Text Classification (F32)
|
100% |
2112
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
2091
3.01 KIPS |
|
|
Text Classification (I8)
|
98% |
1496
2.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
3010
55.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3101
57.1 IPS |
|
|
Machine Translation (I8)
|
67% |
4373
80.5 IPS |
