JGINYUE B760M GAMING
Geekbench AI Score
1648
Single Precision Score
949
Half Precision Score
2429
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | September 26 2024 06:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1006
187.1 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.4 IPS |
|
|
Image Classification (Q)
|
99% |
2065
385.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
615
9.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
1473
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3012
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2519
2.94 IPS |
|
|
Pose Estimation (Q)
|
95% |
11511
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1084
85.9 IPS |
|
|
Object Detection (HP)
|
100% |
422
33.5 IPS |
|
|
Object Detection (Q)
|
88% |
1127
90.3 IPS |
|
|
Face Detection (SP)
|
100% |
1466
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
951
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
2462
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3281
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1389
10.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
4803
38.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7229
9.29 IPS |
|
|
Style Transfer (HP)
|
100% |
6180
7.94 IPS |
|
|
Style Transfer (Q)
|
98% |
10494
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1383
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1215
44.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2670
98.9 IPS |
|
|
Text Classification (SP)
|
100% |
1115
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
553
738.1 IPS |
|
|
Text Classification (Q)
|
97% |
409
548.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (Q)
|
60% |
1340
29.9 IPS |
