Gigabyte Technology Co., Ltd. X570 AORUS ELITE
Geekbench AI Score
3242
Single Precision Score
809
Half Precision Score
3691
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | rfdevil |
| Upload Date | August 15 2024 09:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1544
287.2 IPS |
|
|
Image Classification (HP)
|
100% |
151
28.2 IPS |
|
|
Image Classification (Q)
|
97% |
3423
638.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (Q)
|
97% |
2418
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7458
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
5497
6.41 IPS |
|
|
Pose Estimation (Q)
|
87% |
15772
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
1881
149.2 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.8 IPS |
|
|
Object Detection (Q)
|
86% |
1879
151.1 IPS |
|
|
Face Detection (SP)
|
100% |
3249
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
316
3.76 IPS |
|
|
Face Detection (Q)
|
96% |
4425
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7206
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1011
7.79 IPS |
|
|
Depth Estimation (Q)
|
76% |
7806
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17493
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13379
17.2 IPS |
|
|
Style Transfer (Q)
|
87% |
20282
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2326
85.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1897
70.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3188
118.1 IPS |
|
|
Text Classification (SP)
|
100% |
1467
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
569
759.4 IPS |
|
|
Text Classification (Q)
|
97% |
407
545.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2216
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2105
47.0 IPS |
