Gigabyte Technology Co., Ltd. B660M AORUS PRO DDR4
Geekbench AI Score
1672
Single Precision Score
1726
Half Precision Score
1105
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kukusa |
| Upload Date | August 02 2025 05:38 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660M AORUS PRO DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660M AORUS PRO DDR4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
699
130.1 IPS |
|
|
Image Classification (HP)
|
100% |
707
131.5 IPS |
|
|
Image Classification (Q)
|
100% |
587
109.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
728
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4900
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
5446
6.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
3296
3.86 IPS |
|
|
Object Detection (SP)
|
100% |
794
63.0 IPS |
|
|
Object Detection (HP)
|
98% |
673
53.5 IPS |
|
|
Object Detection (Q)
|
86% |
663
53.3 IPS |
|
|
Face Detection (SP)
|
100% |
1546
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
1699
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
1151
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2933
22.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3217
24.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2162
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10129
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13529
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7446
9.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1742
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2378
87.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
878
32.5 IPS |
|
|
Text Classification (SP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
484
645.9 IPS |
|
|
Text Classification (Q)
|
97% |
401
536.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (Q)
|
70% |
446
8.36 IPS |
