Gigabyte Technology Co., Ltd. B660M DS3H AX DDR4
Geekbench AI Score
4371
Single Precision Score
4522
Half Precision Score
10338
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mpatton |
| Upload Date | May 13 2025 01:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660M DS3H AX DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660M DS3H AX DDR4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2014
374.5 IPS |
|
|
Image Classification (HP)
|
100% |
2843
528.7 IPS |
|
|
Image Classification (Q)
|
100% |
8056
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3366
54.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3818
61.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6554
106.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6266
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
6112
7.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
23950
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (HP)
|
100% |
1824
144.7 IPS |
|
|
Object Detection (Q)
|
88% |
5361
429.8 IPS |
|
|
Face Detection (SP)
|
100% |
4859
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
5559
66.1 IPS |
|
|
Face Detection (Q)
|
100% |
12799
152.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7895
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7422
57.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
18789
146.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19118
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18593
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
64316
82.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3687
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3716
137.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11439
423.6 IPS |
|
|
Text Classification (SP)
|
100% |
3121
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3079
4.11 KIPS |
|
|
Text Classification (Q)
|
92% |
3442
4.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4145
71.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3378
58.2 IPS |
