Gigabyte Technology Co., Ltd. X570 AORUS ELITE
Geekbench ML Score
1980
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 09:29 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Power Plan | High performance |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
858
160.6 IPS |
|
|
Image Classification (F16)
|
100% |
930
174.1 IPS |
|
|
Image Classification (I8)
|
97% |
1870
350.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
787
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
726
12.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
1468
24.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5712
6.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
5522
6.69 IPS |
|
|
Pose Estimation (I8)
|
100% |
8081
9.79 IPS |
|
|
Object Detection (F32)
|
100% |
1041
77.7 IPS |
|
|
Object Detection (F16)
|
100% |
974
72.7 IPS |
|
|
Object Detection (I8)
|
60% |
775
57.8 IPS |
|
|
Face Detection (F32)
|
100% |
1913
22.7 IPS |
|
|
Face Detection (F16)
|
100% |
1951
23.2 IPS |
|
|
Face Detection (I8)
|
87% |
2642
31.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4567
35.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4582
35.5 IPS |
|
|
Depth Estimation (I8)
|
74% |
6728
52.2 IPS |
|
|
Style Transfer (F32)
|
100% |
11708
15.4 IPS |
|
|
Style Transfer (F16)
|
100% |
13945
18.3 IPS |
|
|
Style Transfer (I8)
|
85% |
12740
16.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1795
64.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1828
65.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1717
61.3 IPS |
|
|
Text Classification (F32)
|
100% |
631
906.7 IPS |
|
|
Text Classification (F16)
|
100% |
672
965.8 IPS |
|
|
Text Classification (I8)
|
94% |
252
362.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1104
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1126
20.7 IPS |
|
|
Machine Translation (I8)
|
67% |
1469
27.0 IPS |
