LENOVO 83E2
Geekbench AI Score
2832
Single Precision Score
1151
Half Precision Score
5800
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | GhaidaMB |
| Upload Date | October 10 2025 05:07 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83E2 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2353
437.7 IPS |
|
|
Image Classification (HP)
|
100% |
465
86.5 IPS |
|
|
Image Classification (Q)
|
99% |
4820
899.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1204
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5552
90.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3127
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2358
2.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
17826
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2206
175.0 IPS |
|
|
Object Detection (HP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (Q)
|
86% |
5039
405.0 IPS |
|
|
Face Detection (SP)
|
100% |
6509
77.3 IPS |
|
|
Face Detection (HP)
|
100% |
1211
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
7321
87.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6119
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1756
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
12012
95.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11483
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8334
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17613
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2061
76.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1526
56.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4142
153.4 IPS |
|
|
Text Classification (SP)
|
100% |
1178
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
582
777.0 IPS |
|
|
Text Classification (Q)
|
97% |
1166
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1532
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2399
48.2 IPS |
