LENOVO 81A8
Geekbench AI Score
1001
Single Precision Score
1034
Half Precision Score
1567
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | October 02 2025 11:58 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7500U CPU @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LENOVO 81A8 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Free i9 performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7500U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
594
110.4 IPS |
|
|
Image Classification (HP)
|
100% |
619
115.2 IPS |
|
|
Image Classification (Q)
|
100% |
1067
198.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1146
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1313
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1208
1.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
2246
2.63 IPS |
|
|
Object Detection (SP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.2 IPS |
|
|
Object Detection (Q)
|
87% |
1083
86.8 IPS |
|
|
Face Detection (SP)
|
100% |
1243
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1239
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
2675
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1584
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1560
12.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
2722
21.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3382
4.35 IPS |
|
|
Style Transfer (HP)
|
100% |
3485
4.48 IPS |
|
|
Style Transfer (Q)
|
98% |
6444
8.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
718
26.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
725
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1335
49.5 IPS |
|
|
Text Classification (SP)
|
100% |
918
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
887
1.18 KIPS |
|
|
Text Classification (Q)
|
91% |
403
541.6 IPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1193
20.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1195
20.6 IPS |
