N/A
Geekbench AI Score
837
Single Precision Score
322
Half Precision Score
1162
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | Puffin |
| Upload Date | January 27 2025 03:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6260U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| 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% |
475
88.3 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.7 IPS |
|
|
Image Classification (Q)
|
94% |
834
155.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
148
2.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
671
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1154
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
945
1.10 IPS |
|
|
Pose Estimation (Q)
|
86% |
1929
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.62 IPS |
|
|
Object Detection (Q)
|
58% |
595
65.0 IPS |
|
|
Face Detection (SP)
|
100% |
1129
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
203
2.42 IPS |
|
|
Face Detection (Q)
|
96% |
2018
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1398
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
469
3.61 IPS |
|
|
Depth Estimation (Q)
|
78% |
1945
15.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2866
3.68 IPS |
|
|
Style Transfer (HP)
|
100% |
2216
2.85 IPS |
|
|
Style Transfer (Q)
|
87% |
3847
5.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
506
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
870
32.3 IPS |
|
|
Text Classification (SP)
|
100% |
670
894.6 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.5 IPS |
|
|
Text Classification (Q)
|
97% |
620
830.6 IPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (Q)
|
68% |
858
16.6 IPS |
