Maxsun MS-B760M GAMING WIFI GANK V2
Geekbench AI Score
3959
Single Precision Score
3831
Half Precision Score
9864
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 26 2024 12:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12600KF |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Maxsun MS-B760M GAMING WIFI GANK V2 |
| Motherboard | Maxsun MS-B760M GAMING WIFI GANK V2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600KF |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1623
301.8 IPS |
|
|
Image Classification (HP)
|
100% |
1746
324.6 IPS |
|
|
Image Classification (Q)
|
100% |
4850
901.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2050
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6269
101.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5604
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
5583
6.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
20189
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
2759
218.8 IPS |
|
|
Object Detection (HP)
|
100% |
2770
219.8 IPS |
|
|
Object Detection (Q)
|
88% |
6776
543.2 IPS |
|
|
Face Detection (SP)
|
100% |
7689
91.4 IPS |
|
|
Face Detection (HP)
|
100% |
7738
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
16126
191.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6493
50.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4495
34.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
10855
84.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15674
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16556
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
57159
73.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2234
82.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1977
73.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11107
411.3 IPS |
|
|
Text Classification (SP)
|
100% |
2602
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2606
3.48 KIPS |
|
|
Text Classification (Q)
|
92% |
4697
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4047
69.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4078
70.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4020
69.2 IPS |
