Gigabyte Technology Co., Ltd. B660 GAMING X DDR4
Geekbench AI Score
4074
Single Precision Score
1593
Half Precision Score
7261
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | xyviolin |
| Upload Date | March 17 2025 10:33 PM |
| Views | 7 |
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. B660 GAMING X DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660 GAMING X 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 | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3111
578.5 IPS |
|
|
Image Classification (HP)
|
100% |
577
107.3 IPS |
|
|
Image Classification (Q)
|
99% |
5661
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1022
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3889
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7311
8.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
4415
5.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
25750
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
2814
223.2 IPS |
|
|
Object Detection (HP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (Q)
|
86% |
6648
534.3 IPS |
|
|
Face Detection (SP)
|
100% |
7320
87.0 IPS |
|
|
Face Detection (HP)
|
100% |
1665
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
10477
124.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8775
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2092
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
15417
123.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15997
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11087
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20547
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2945
108.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2072
76.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4708
174.3 IPS |
|
|
Text Classification (SP)
|
100% |
1553
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1851
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2263
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3738
75.1 IPS |
