N/A
Geekbench AI Score
750
Single Precision Score
304
Half Precision Score
1115
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | compaqdrew |
| Upload Date | December 09 2024 11:32 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6260U |
| 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% |
426
79.2 IPS |
|
|
Image Classification (HP)
|
100% |
90
16.7 IPS |
|
|
Image Classification (Q)
|
94% |
826
154.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
130
2.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
646
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1136
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
923
1.08 IPS |
|
|
Pose Estimation (Q)
|
86% |
1911
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.86 IPS |
|
|
Object Detection (Q)
|
58% |
588
64.3 IPS |
|
|
Face Detection (SP)
|
100% |
726
8.63 IPS |
|
|
Face Detection (HP)
|
100% |
172
2.05 IPS |
|
|
Face Detection (Q)
|
96% |
1929
23.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1302
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
444
3.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
1900
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2741
3.52 IPS |
|
|
Style Transfer (HP)
|
100% |
2151
2.76 IPS |
|
|
Style Transfer (Q)
|
87% |
3417
4.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
584
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
843
31.2 IPS |
|
|
Text Classification (SP)
|
100% |
660
881.3 IPS |
|
|
Text Classification (HP)
|
100% |
279
373.0 IPS |
|
|
Text Classification (Q)
|
97% |
616
824.6 IPS |
|
|
Machine Translation (SP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
248
4.28 IPS |
|
|
Machine Translation (Q)
|
68% |
768
14.8 IPS |
