Gigabyte Technology Co., Ltd. B660M DS3H DDR4
Geekbench AI Score
4668
Single Precision Score
4704
Half Precision Score
11458
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 11:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12700 |
| 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 i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3063
569.7 IPS |
|
|
Image Classification (HP)
|
100% |
2990
556.1 IPS |
|
|
Image Classification (Q)
|
100% |
7470
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3695
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3620
58.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6773
109.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6555
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
6632
7.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
24725
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (HP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (Q)
|
88% |
7718
618.7 IPS |
|
|
Face Detection (SP)
|
100% |
4826
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
4897
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
17022
202.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7185
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7320
56.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
16782
130.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19212
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19552
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
68624
88.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3961
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3844
141.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13028
482.5 IPS |
|
|
Text Classification (SP)
|
100% |
3080
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3179
4.24 KIPS |
|
|
Text Classification (Q)
|
92% |
4611
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3614
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3343
57.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3432
59.1 IPS |
