JGINYUE B760M GAMING
Geekbench AI Score
2402
Single Precision Score
2485
Half Precision Score
6127
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | September 26 2024 06:57 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | JGINYUE B760M GAMING |
| Motherboard | JGINYUE B760M GAMING |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1549
288.1 IPS |
|
|
Image Classification (HP)
|
100% |
1679
312.2 IPS |
|
|
Image Classification (Q)
|
100% |
3889
723.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3946
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3774
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3687
4.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
13384
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1288
102.2 IPS |
|
|
Object Detection (HP)
|
100% |
1512
120.0 IPS |
|
|
Object Detection (Q)
|
88% |
4203
337.0 IPS |
|
|
Face Detection (SP)
|
100% |
2932
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
2551
30.3 IPS |
|
|
Face Detection (Q)
|
100% |
7085
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3237
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4007
30.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
10886
84.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9632
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10241
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37125
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2050
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1894
69.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6869
254.4 IPS |
|
|
Text Classification (SP)
|
100% |
1267
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1221
1.63 KIPS |
|
|
Text Classification (Q)
|
92% |
2499
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1998
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1980
34.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1758
30.3 IPS |
