Gigabyte Technology Co., Ltd. B660M AORUS PRO AX DDR4
Geekbench AI Score
2030
Single Precision Score
3018
Half Precision Score
4384
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kasid |
| Upload Date | September 21 2025 07:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 730 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660M AORUS PRO AX DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660M AORUS PRO AX DDR4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1316
244.8 IPS |
|
|
Image Classification (HP)
|
100% |
2247
417.8 IPS |
|
|
Image Classification (Q)
|
99% |
3198
596.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1877
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3409
55.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3759
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3111
3.63 IPS |
|
|
Pose Estimation (HP)
|
99% |
2624
3.06 IPS |
|
|
Pose Estimation (Q)
|
97% |
8961
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1200
95.2 IPS |
|
|
Object Detection (HP)
|
99% |
2036
161.5 IPS |
|
|
Object Detection (Q)
|
90% |
3395
271.5 IPS |
|
|
Face Detection (SP)
|
100% |
4032
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
6814
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
7921
94.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3906
30.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7034
54.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9014
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8817
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13532
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22173
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1585
58.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2713
100.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4808
178.1 IPS |
|
|
Text Classification (SP)
|
71% |
651
941.2 IPS |
|
|
Text Classification (HP)
|
71% |
708
1.02 KIPS |
|
|
Text Classification (Q)
|
92% |
761
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1230
21.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1239
21.3 IPS |
