Gigabyte Technology Co., Ltd. B660M GAMING DDR4
Geekbench AI Score
4335
Single Precision Score
1636
Half Precision Score
7286
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rubar_m |
| Upload Date | June 02 2025 03:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660M GAMING DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660M GAMING DDR4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3413
634.8 IPS |
|
|
Image Classification (HP)
|
100% |
587
109.1 IPS |
|
|
Image Classification (Q)
|
99% |
6674
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1988
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1048
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3728
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7346
8.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4515
5.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
25264
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
3153
250.1 IPS |
|
|
Object Detection (HP)
|
100% |
750
59.5 IPS |
|
|
Object Detection (Q)
|
86% |
6869
552.0 IPS |
|
|
Face Detection (SP)
|
100% |
7796
92.6 IPS |
|
|
Face Detection (HP)
|
100% |
1770
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
10236
122.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9517
73.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2199
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
15414
123.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17191
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11068
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22280
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2856
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2197
81.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4626
171.3 IPS |
|
|
Text Classification (SP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1726
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3479
69.9 IPS |
