Gigabyte Technology Co., Ltd. B660M GAMING DDR4
Geekbench AI Score
5018
Single Precision Score
1568
Half Precision Score
7724
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 14 2025 01:34 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700F |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660M GAMING DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660M GAMING DDR4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4106
763.6 IPS |
|
|
Image Classification (HP)
|
100% |
579
107.7 IPS |
|
|
Image Classification (Q)
|
99% |
7054
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2179
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1103
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4075
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9433
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
3910
4.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
31103
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3612
286.5 IPS |
|
|
Object Detection (HP)
|
100% |
718
57.0 IPS |
|
|
Object Detection (Q)
|
86% |
7219
580.2 IPS |
|
|
Face Detection (SP)
|
100% |
10056
119.5 IPS |
|
|
Face Detection (HP)
|
100% |
1699
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
11089
132.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11003
84.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2084
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17877
142.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21564
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10215
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21361
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3664
135.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2263
83.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4935
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
1700
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1661
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2236
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3376
67.8 IPS |
