Gigabyte Technology Co., Ltd. B660M AORUS PRO DDR4
Geekbench AI Score
2411
Single Precision Score
1290
Half Precision Score
5804
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kukusa |
| Upload Date | August 02 2025 05:30 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12600 |
| 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% |
1722
320.3 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.7 IPS |
|
|
Image Classification (Q)
|
99% |
4774
890.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1126
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
793
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5697
92.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3419
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2953
3.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
14283
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1679
133.2 IPS |
|
|
Object Detection (HP)
|
100% |
644
51.1 IPS |
|
|
Object Detection (Q)
|
86% |
4617
371.1 IPS |
|
|
Face Detection (SP)
|
100% |
3753
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
1397
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
6827
81.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4430
34.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1822
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10998
87.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8472
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7158
9.20 IPS |
|
|
Style Transfer (Q)
|
98% |
14573
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1417
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4905
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
1436
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1534
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1763
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2938
59.0 IPS |
