Gigabyte Technology Co., Ltd. X570 AORUS ELITE WIFI
Geekbench ML Score
2753
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 07 2024 01:16 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| 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% |
1661
310.9 IPS |
|
|
Image Classification (F16)
|
100% |
1622
303.6 IPS |
|
|
Image Classification (I8)
|
97% |
3429
641.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1493
24.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1508
25.2 IPS |
|
|
Image Segmentation (I8)
|
97% |
1751
29.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
4518
5.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
4549
5.51 IPS |
|
|
Pose Estimation (I8)
|
100% |
10834
13.1 IPS |
|
|
Object Detection (F32)
|
100% |
1497
111.8 IPS |
|
|
Object Detection (F16)
|
100% |
1405
104.9 IPS |
|
|
Object Detection (I8)
|
60% |
1478
110.4 IPS |
|
|
Face Detection (F32)
|
100% |
2102
25.0 IPS |
|
|
Face Detection (F16)
|
100% |
2055
24.4 IPS |
|
|
Face Detection (I8)
|
87% |
3208
38.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6455
50.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5215
40.4 IPS |
|
|
Depth Estimation (I8)
|
74% |
9480
73.5 IPS |
|
|
Style Transfer (F32)
|
100% |
10444
13.7 IPS |
|
|
Style Transfer (F16)
|
100% |
11535
15.2 IPS |
|
|
Style Transfer (I8)
|
85% |
12216
16.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2769
98.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2268
81.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3071
109.7 IPS |
|
|
Text Classification (F32)
|
100% |
1690
2.43 KIPS |
|
|
Text Classification (F16)
|
100% |
1486
2.14 KIPS |
|
|
Text Classification (I8)
|
94% |
333
479.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1664
30.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1628
30.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2195
40.4 IPS |
