LENOVO 83AL
Geekbench AI Score
3018
Single Precision Score
1240
Half Precision Score
5728
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | crs_tzep |
| Upload Date | July 01 2025 03:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13500H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83AL |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2370
440.7 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.5 IPS |
|
|
Image Classification (Q)
|
99% |
4312
804.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
792
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6357
103.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4628
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3253
3.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
14400
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2241
177.8 IPS |
|
|
Object Detection (HP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (Q)
|
86% |
4483
360.3 IPS |
|
|
Face Detection (SP)
|
100% |
5834
69.3 IPS |
|
|
Face Detection (HP)
|
100% |
1325
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
7492
89.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5799
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1746
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11937
95.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10916
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7732
9.94 IPS |
|
|
Style Transfer (Q)
|
98% |
17342
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2058
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1516
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4256
157.6 IPS |
|
|
Text Classification (SP)
|
100% |
1382
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
634
846.2 IPS |
|
|
Text Classification (Q)
|
97% |
1355
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1747
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2403
48.3 IPS |
