LENOVO 2537GP3
Geekbench AI Score
172
Single Precision Score
130
Half Precision Score
262
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | CallumBench |
| Upload Date | February 02 2025 11:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-520M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 2537GP3 |
| Motherboard | LENOVO 2537GP3 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-520M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 37 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
111
20.6 IPS |
|
|
Image Classification (HP)
|
100% |
66
12.3 IPS |
|
|
Image Classification (Q)
|
96% |
185
34.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
96
1.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
89
1.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
177
2.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
196
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
188
0.22 IPS |
|
|
Pose Estimation (Q)
|
86% |
344
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
99
7.81 IPS |
|
|
Object Detection (HP)
|
100% |
70
5.55 IPS |
|
|
Object Detection (Q)
|
58% |
134
14.7 IPS |
|
|
Face Detection (SP)
|
100% |
302
3.58 IPS |
|
|
Face Detection (HP)
|
100% |
178
2.12 IPS |
|
|
Face Detection (Q)
|
96% |
402
4.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
271
2.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
196
1.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
386
3.08 IPS |
|
|
Style Transfer (SP)
|
100% |
510
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
522
0.67 IPS |
|
|
Style Transfer (Q)
|
87% |
712
0.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
117
4.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
110
4.08 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
187
6.92 IPS |
|
|
Text Classification (SP)
|
100% |
126
168.6 IPS |
|
|
Text Classification (HP)
|
100% |
90
120.8 IPS |
|
|
Text Classification (Q)
|
97% |
202
271.2 IPS |
|
|
Machine Translation (SP)
|
100% |
187
3.23 IPS |
|
|
Machine Translation (HP)
|
100% |
100
1.73 IPS |
|
|
Machine Translation (Q)
|
68% |
250
4.83 IPS |
