Gigabyte Technology Co., Ltd. X570 AORUS ELITE
Geekbench ML Score
2098
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 06:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 16.0 MB x 4 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
886
165.8 IPS |
|
|
Image Classification (F16)
|
100% |
887
166.0 IPS |
|
|
Image Classification (I8)
|
97% |
1701
318.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1066
17.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1144
19.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
1534
25.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6869
8.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
6290
7.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
7996
9.68 IPS |
|
|
Object Detection (F32)
|
100% |
1033
77.2 IPS |
|
|
Object Detection (F16)
|
100% |
1034
77.2 IPS |
|
|
Object Detection (I8)
|
60% |
955
71.3 IPS |
|
|
Face Detection (F32)
|
100% |
1765
21.0 IPS |
|
|
Face Detection (F16)
|
100% |
1772
21.1 IPS |
|
|
Face Detection (I8)
|
87% |
2457
29.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4131
32.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
4683
36.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
5780
44.8 IPS |
|
|
Style Transfer (F32)
|
100% |
11875
15.6 IPS |
|
|
Style Transfer (F16)
|
100% |
12995
17.1 IPS |
|
|
Style Transfer (I8)
|
85% |
11500
15.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1883
67.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1870
66.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2075
74.1 IPS |
|
|
Text Classification (F32)
|
100% |
769
1.11 KIPS |
|
|
Text Classification (F16)
|
100% |
764
1.10 KIPS |
|
|
Text Classification (I8)
|
94% |
295
423.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1266
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1219
22.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1738
32.0 IPS |
