LENOVO 83AL
Geekbench AI Score
1240
Single Precision Score
1246
Half Precision Score
2336
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 17 2026 03:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13500H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83AL |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
914
170.0 IPS |
|
|
Image Classification (HP)
|
100% |
624
116.0 IPS |
|
|
Image Classification (Q)
|
100% |
1400
260.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
959
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1539
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1734
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1737
2.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
4556
5.34 IPS |
|
|
Object Detection (SP)
|
100% |
800
63.5 IPS |
|
|
Object Detection (HP)
|
100% |
909
72.1 IPS |
|
|
Object Detection (Q)
|
88% |
1496
120.0 IPS |
|
|
Face Detection (SP)
|
100% |
2184
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
2176
25.9 IPS |
|
|
Face Detection (Q)
|
100% |
2704
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1921
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1673
12.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
4003
31.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4165
5.35 IPS |
|
|
Style Transfer (HP)
|
100% |
5161
6.64 IPS |
|
|
Style Transfer (Q)
|
98% |
11966
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
798
29.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
826
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2402
88.9 IPS |
|
|
Text Classification (SP)
|
100% |
421
562.4 IPS |
|
|
Text Classification (HP)
|
100% |
537
716.7 IPS |
|
|
Text Classification (Q)
|
92% |
1224
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1152
19.8 IPS |
|
|
Machine Translation (Q)
|
100% |
867
14.9 IPS |
