LENOVO 83AL
Geekbench AI Score
3798
Single Precision Score
5165
Half Precision Score
7757
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 17 2026 03:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2219
412.6 IPS |
|
|
Image Classification (HP)
|
100% |
3234
601.5 IPS |
|
|
Image Classification (Q)
|
99% |
4361
813.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3709
60.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5941
96.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7230
117.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8141
9.50 IPS |
|
|
Pose Estimation (HP)
|
99% |
5835
6.81 IPS |
|
|
Pose Estimation (Q)
|
97% |
26954
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
2173
172.3 IPS |
|
|
Object Detection (HP)
|
100% |
3058
242.6 IPS |
|
|
Object Detection (Q)
|
90% |
4661
372.6 IPS |
|
|
Face Detection (SP)
|
100% |
6466
76.8 IPS |
|
|
Face Detection (HP)
|
100% |
9977
118.6 IPS |
|
|
Face Detection (Q)
|
100% |
14029
166.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8036
61.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12673
97.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
16214
126.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21613
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28551
36.7 IPS |
|
|
Style Transfer (Q)
|
98% |
61077
78.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3273
120.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4777
176.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9603
355.6 IPS |
|
|
Text Classification (SP)
|
71% |
907
1.31 KIPS |
|
|
Text Classification (HP)
|
71% |
1332
1.93 KIPS |
|
|
Text Classification (Q)
|
92% |
1090
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1719
29.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1370
23.7 IPS |
