N/A
Geekbench AI Score
518
Single Precision Score
519
Half Precision Score
295
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | compaqdrew |
| Upload Date | December 09 2024 11:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
330
61.4 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.4 IPS |
|
|
Image Classification (Q)
|
99% |
184
34.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
411
6.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
217
3.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
543
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
544
0.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
426
0.50 IPS |
|
|
Object Detection (SP)
|
100% |
336
26.7 IPS |
|
|
Object Detection (HP)
|
100% |
337
26.8 IPS |
|
|
Object Detection (Q)
|
85% |
193
15.5 IPS |
|
|
Face Detection (SP)
|
100% |
833
9.89 IPS |
|
|
Face Detection (HP)
|
100% |
839
9.97 IPS |
|
|
Face Detection (Q)
|
97% |
441
5.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
617
4.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
611
4.71 IPS |
|
|
Depth Estimation (Q)
|
63% |
394
3.69 IPS |
|
|
Style Transfer (SP)
|
100% |
829
1.07 IPS |
|
|
Style Transfer (HP)
|
100% |
826
1.06 IPS |
|
|
Style Transfer (Q)
|
98% |
952
1.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
335
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
335
12.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
261
9.67 IPS |
|
|
Text Classification (SP)
|
100% |
549
732.4 IPS |
|
|
Text Classification (HP)
|
100% |
552
737.1 IPS |
|
|
Text Classification (Q)
|
92% |
194
260.8 IPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
58% |
187
4.39 IPS |
