Gigabyte Technology Co., Ltd. X570 AORUS PRO
Geekbench AI Score
951
Single Precision Score
518
Half Precision Score
1137
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | IbaiP |
| Upload Date | January 25 2025 06:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 2600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS PRO |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
655
121.7 IPS |
|
|
Image Classification (HP)
|
100% |
218
40.5 IPS |
|
|
Image Classification (Q)
|
96% |
853
159.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
476
7.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (Q)
|
97% |
816
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1402
1.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1199
1.40 IPS |
|
|
Pose Estimation (Q)
|
86% |
1771
2.09 IPS |
|
|
Object Detection (SP)
|
100% |
649
51.5 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
58% |
624
68.2 IPS |
|
|
Face Detection (SP)
|
100% |
1691
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
617
7.33 IPS |
|
|
Face Detection (Q)
|
96% |
2099
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1826
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
800
6.17 IPS |
|
|
Depth Estimation (Q)
|
78% |
2015
16.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3690
4.74 IPS |
|
|
Style Transfer (HP)
|
100% |
3197
4.11 IPS |
|
|
Style Transfer (Q)
|
87% |
3967
5.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
639
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
580
21.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
737
27.3 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.7 IPS |
|
|
Text Classification (HP)
|
100% |
226
302.1 IPS |
|
|
Text Classification (Q)
|
97% |
437
585.5 IPS |
|
|
Machine Translation (SP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (Q)
|
68% |
870
16.8 IPS |
