Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX
Geekbench ML Score
4190
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 05:37 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| L3 Cache | 32.0 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% |
2433
455.3 IPS |
|
|
Image Classification (F16)
|
100% |
2323
434.7 IPS |
|
|
Image Classification (I8)
|
99% |
5131
960.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2082
34.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1996
33.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2530
42.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6423
7.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
6610
8.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
22739
27.5 IPS |
|
|
Object Detection (F32)
|
100% |
1988
148.4 IPS |
|
|
Object Detection (F16)
|
100% |
2076
155.0 IPS |
|
|
Object Detection (I8)
|
62% |
2370
176.9 IPS |
|
|
Face Detection (F32)
|
100% |
4017
47.8 IPS |
|
|
Face Detection (F16)
|
100% |
3999
47.5 IPS |
|
|
Face Detection (I8)
|
89% |
5615
66.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7875
61.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
7823
60.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
17020
132.0 IPS |
|
|
Style Transfer (F32)
|
100% |
15794
20.8 IPS |
|
|
Style Transfer (F16)
|
100% |
16273
21.4 IPS |
|
|
Style Transfer (I8)
|
98% |
26473
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3405
121.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3358
119.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4648
166.0 IPS |
|
|
Text Classification (F32)
|
100% |
1998
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
1964
2.82 KIPS |
|
|
Text Classification (I8)
|
98% |
424
610.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2713
49.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2714
50.0 IPS |
|
|
Machine Translation (I8)
|
67% |
3861
71.1 IPS |
