Gigabyte Technology Co., Ltd. B660M DS3H DDR4
Geekbench AI Score
2310
Single Precision Score
2131
Half Precision Score
5236
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | pierresmithsp |
| Upload Date | October 13 2025 07:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660M DS3H DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660M DS3H DDR4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
1251
232.6 IPS |
|
|
Image Classification (Q)
|
100% |
3115
579.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3309
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3420
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3089
3.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
11731
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.5 IPS |
|
|
Object Detection (HP)
|
100% |
1491
118.2 IPS |
|
|
Object Detection (Q)
|
88% |
3516
281.9 IPS |
|
|
Face Detection (SP)
|
100% |
3625
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
1928
22.9 IPS |
|
|
Face Detection (Q)
|
100% |
5920
70.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3309
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3864
29.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
8934
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8799
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8099
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24805
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5773
213.8 IPS |
|
|
Text Classification (SP)
|
100% |
1462
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1612
2.15 KIPS |
|
|
Text Classification (Q)
|
92% |
2649
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1822
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1655
28.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1817
31.3 IPS |
