LENOVO 20FB004NUS
Geekbench AI Score
587
Single Precision Score
592
Half Precision Score
343
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | extrahacker |
| Upload Date | December 30 2024 05:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-6600U |
| System Information | |
|---|---|
| Operating System | Manjaro Linux |
| Model | LENOVO 20FB004NUS |
| Motherboard | LENOVO 20FB004NUS |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6600U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
339
63.0 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.8 IPS |
|
|
Image Classification (Q)
|
99% |
215
40.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
489
7.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
257
4.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
608
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
610
0.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
485
0.57 IPS |
|
|
Object Detection (SP)
|
100% |
384
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
386
30.6 IPS |
|
|
Object Detection (Q)
|
85% |
219
17.6 IPS |
|
|
Face Detection (SP)
|
100% |
825
9.80 IPS |
|
|
Face Detection (HP)
|
100% |
824
9.79 IPS |
|
|
Face Detection (Q)
|
97% |
515
6.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
714
5.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
681
5.25 IPS |
|
|
Depth Estimation (Q)
|
63% |
448
4.20 IPS |
|
|
Style Transfer (SP)
|
100% |
1069
1.37 IPS |
|
|
Style Transfer (HP)
|
100% |
1064
1.37 IPS |
|
|
Style Transfer (Q)
|
98% |
1103
1.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
394
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
393
14.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
306
11.3 IPS |
|
|
Text Classification (SP)
|
100% |
592
790.5 IPS |
|
|
Text Classification (HP)
|
100% |
591
788.6 IPS |
|
|
Text Classification (Q)
|
92% |
230
309.5 IPS |
|
|
Machine Translation (SP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (Q)
|
58% |
220
5.16 IPS |
