LENOVO 20HAS2PB00
Geekbench AI Score
682
Single Precision Score
683
Half Precision Score
388
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | March 04 2025 10:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-7600U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | LENOVO 20HAS2PB00 |
| Motherboard | LENOVO 20HAS2PB00 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7600U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
444
82.5 IPS |
|
|
Image Classification (HP)
|
100% |
430
80.1 IPS |
|
|
Image Classification (Q)
|
99% |
236
44.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
530
8.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
537
8.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
288
4.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
714
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
710
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
561
0.66 IPS |
|
|
Object Detection (SP)
|
100% |
422
33.5 IPS |
|
|
Object Detection (HP)
|
100% |
428
33.9 IPS |
|
|
Object Detection (Q)
|
85% |
246
19.8 IPS |
|
|
Face Detection (SP)
|
100% |
936
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
931
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
550
6.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
832
6.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
837
6.45 IPS |
|
|
Depth Estimation (Q)
|
63% |
514
4.82 IPS |
|
|
Style Transfer (SP)
|
100% |
1243
1.60 IPS |
|
|
Style Transfer (HP)
|
100% |
1246
1.60 IPS |
|
|
Style Transfer (Q)
|
98% |
1267
1.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
463
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
349
12.9 IPS |
|
|
Text Classification (SP)
|
100% |
678
905.0 IPS |
|
|
Text Classification (HP)
|
100% |
687
917.0 IPS |
|
|
Text Classification (Q)
|
92% |
265
355.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (Q)
|
58% |
254
5.96 IPS |
