JGINYUE B760M GAMING
Geekbench AI Score
3523
Single Precision Score
3534
Half Precision Score
8505
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | December 01 2024 12:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
2177
404.9 IPS |
|
|
Image Classification (HP)
|
100% |
2245
417.5 IPS |
|
|
Image Classification (Q)
|
100% |
5234
973.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2627
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2751
44.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3883
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4638
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
4861
5.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
18166
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2320
184.0 IPS |
|
|
Object Detection (HP)
|
100% |
2151
170.6 IPS |
|
|
Object Detection (Q)
|
88% |
5946
476.7 IPS |
|
|
Face Detection (SP)
|
100% |
4770
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
5140
61.1 IPS |
|
|
Face Detection (Q)
|
100% |
13288
157.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6036
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6204
47.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
15437
120.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13583
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13621
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
42115
54.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2788
103.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2535
93.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9571
354.4 IPS |
|
|
Text Classification (SP)
|
100% |
1564
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1644
2.19 KIPS |
|
|
Text Classification (Q)
|
92% |
3509
4.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2811
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2602
44.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3112
53.6 IPS |
