LENOVO 81B5
Geekbench AI Score
616
Single Precision Score
347
Half Precision Score
870
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jobieh |
| Upload Date | June 06 2025 11:40 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7200U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 81B5 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
346
64.3 IPS |
|
|
Image Classification (HP)
|
100% |
172
31.9 IPS |
|
|
Image Classification (Q)
|
96% |
629
117.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
275
4.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
485
7.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
790
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
614
0.72 IPS |
|
|
Pose Estimation (Q)
|
86% |
1366
1.61 IPS |
|
|
Object Detection (SP)
|
100% |
399
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (Q)
|
58% |
466
50.9 IPS |
|
|
Face Detection (SP)
|
100% |
972
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
414
4.92 IPS |
|
|
Face Detection (Q)
|
96% |
1418
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1064
8.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
504
3.88 IPS |
|
|
Depth Estimation (Q)
|
78% |
1574
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2199
2.83 IPS |
|
|
Style Transfer (HP)
|
100% |
1416
1.82 IPS |
|
|
Style Transfer (Q)
|
87% |
2832
3.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
417
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
319
11.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
637
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
427
569.8 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.3 IPS |
|
|
Text Classification (Q)
|
97% |
481
644.0 IPS |
|
|
Machine Translation (SP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.49 IPS |
|
|
Machine Translation (Q)
|
68% |
661
12.8 IPS |
