LENOVO 2537GP3
Geekbench AI Score
195
Single Precision Score
196
Half Precision Score
385
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | CallumBench |
| Upload Date | February 02 2025 11:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5 CPU M 520 @ 2.40GHz |
| 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% |
124
23.1 IPS |
|
|
Image Classification (HP)
|
100% |
125
23.2 IPS |
|
|
Image Classification (Q)
|
100% |
261
48.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
150
2.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
150
2.43 IPS |
|
|
Image Segmentation (Q)
|
99% |
293
4.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
215
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
214
0.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
550
0.65 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.76 IPS |
|
|
Object Detection (HP)
|
100% |
114
9.08 IPS |
|
|
Object Detection (Q)
|
87% |
259
20.8 IPS |
|
|
Face Detection (SP)
|
100% |
368
4.37 IPS |
|
|
Face Detection (HP)
|
100% |
370
4.40 IPS |
|
|
Face Detection (Q)
|
97% |
711
8.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
297
2.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
299
2.30 IPS |
|
|
Depth Estimation (Q)
|
81% |
652
5.15 IPS |
|
|
Style Transfer (SP)
|
100% |
532
0.68 IPS |
|
|
Style Transfer (HP)
|
100% |
526
0.68 IPS |
|
|
Style Transfer (Q)
|
98% |
1642
2.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
133
4.93 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
326
12.1 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.8 IPS |
|
|
Text Classification (HP)
|
100% |
155
206.4 IPS |
|
|
Text Classification (Q)
|
91% |
170
229.2 IPS |
|
|
Machine Translation (SP)
|
100% |
153
2.64 IPS |
|
|
Machine Translation (HP)
|
100% |
157
2.70 IPS |
|
|
Machine Translation (Q)
|
100% |
156
2.68 IPS |
