N/A
Geekbench AI Score
975
Single Precision Score
974
Half Precision Score
1481
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | compaqdrew |
| Upload Date | December 09 2024 11:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-6260U CPU @ 1.80GHz |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | N/A |
| Motherboard | Intel corporation NUC6i5SYB |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6260U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
569
105.8 IPS |
|
|
Image Classification (HP)
|
100% |
570
105.9 IPS |
|
|
Image Classification (Q)
|
100% |
892
166.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
594
9.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
593
9.62 IPS |
|
|
Image Segmentation (Q)
|
99% |
948
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1108
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1104
1.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
2038
2.39 IPS |
|
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (HP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (Q)
|
87% |
919
73.7 IPS |
|
|
Face Detection (SP)
|
100% |
1298
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1297
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
2269
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1482
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1483
11.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
2416
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3275
4.21 IPS |
|
|
Style Transfer (HP)
|
100% |
3279
4.22 IPS |
|
|
Style Transfer (Q)
|
98% |
5817
7.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
682
25.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
686
25.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1216
45.0 IPS |
|
|
Text Classification (SP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (Q)
|
91% |
743
998.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1129
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1117
19.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1116
19.2 IPS |
