JGINYUE B760M GAMING
Geekbench AI Score
2597
Single Precision Score
1218
Half Precision Score
3309
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | December 01 2024 12:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13490F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | JGINYUE B760M GAMING |
| Motherboard | JGINYUE B760M GAMING |
| CPU Information | |
|---|---|
| Name | 13th Gen Intel(R) Core(TM) i5-13490F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1640
305.0 IPS |
|
|
Image Classification (HP)
|
100% |
455
84.6 IPS |
|
|
Image Classification (Q)
|
99% |
3201
597.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2280
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5031
5.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3320
3.87 IPS |
|
|
Pose Estimation (Q)
|
95% |
15790
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
1676
132.9 IPS |
|
|
Object Detection (HP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (Q)
|
88% |
1742
139.6 IPS |
|
|
Face Detection (SP)
|
100% |
2154
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
1170
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
3120
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5499
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1771
13.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
6144
49.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11876
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9133
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
14878
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2197
81.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3578
132.5 IPS |
|
|
Text Classification (SP)
|
100% |
1500
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
639
853.4 IPS |
|
|
Text Classification (Q)
|
97% |
483
647.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1526
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
553
9.52 IPS |
|
|
Machine Translation (Q)
|
60% |
1595
35.6 IPS |
