Gigabyte Technology Co., Ltd. X870E AORUS PRO
Geekbench AI Score
2795
Single Precision Score
1352
Half Precision Score
6160
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | SimonSu63 |
| Upload Date | November 23 2025 07:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2845
529.0 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.4 IPS |
|
|
Image Classification (Q)
|
99% |
5755
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1504
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6425
104.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3475
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
3125
3.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
12562
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
589
46.7 IPS |
|
|
Object Detection (Q)
|
86% |
4986
400.7 IPS |
|
|
Face Detection (SP)
|
100% |
4913
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
1465
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
7447
88.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4595
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1811
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10546
84.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8730
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8158
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19787
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1564
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3878
143.6 IPS |
|
|
Text Classification (SP)
|
100% |
1467
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
826
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1510
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2228
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
903
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3737
75.1 IPS |
