Gigabyte Technology Co., Ltd. B560M AORUS ELITE
Geekbench AI Score
4835
Single Precision Score
4804
Half Precision Score
14114
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | carma2012 |
| Upload Date | December 03 2025 12:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11700F @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B560M AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B560M AORUS ELITE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700F |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3069
570.7 IPS |
|
|
Image Classification (HP)
|
100% |
3046
566.4 IPS |
|
|
Image Classification (Q)
|
100% |
9887
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3112
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2706
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8227
133.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7194
8.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
7206
8.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
28499
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
2592
205.6 IPS |
|
|
Object Detection (HP)
|
100% |
2817
223.5 IPS |
|
|
Object Detection (Q)
|
88% |
10686
856.6 IPS |
|
|
Face Detection (SP)
|
100% |
4507
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
4499
53.5 IPS |
|
|
Face Detection (Q)
|
100% |
23735
282.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8581
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8647
66.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
24134
187.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17736
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
17111
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
75141
96.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4074
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4023
148.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14725
545.3 IPS |
|
|
Text Classification (SP)
|
100% |
3456
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
3403
4.54 KIPS |
|
|
Text Classification (Q)
|
92% |
4713
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4067
70.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4302
74.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4240
73.0 IPS |
