LENOVO 20208
Geekbench AI Score
321
Single Precision Score
215
Half Precision Score
318
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | harrys123jp |
| Upload Date | August 25 2025 03:27 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3230M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20208 |
| Motherboard | LENOVO 20208 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3230M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
215
40.1 IPS |
|
|
Image Classification (HP)
|
100% |
113
21.1 IPS |
|
|
Image Classification (Q)
|
96% |
225
42.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
241
3.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
389
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
325
0.38 IPS |
|
|
Pose Estimation (Q)
|
86% |
422
0.50 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
124
9.81 IPS |
|
|
Object Detection (Q)
|
58% |
159
17.4 IPS |
|
|
Face Detection (SP)
|
100% |
653
7.75 IPS |
|
|
Face Detection (HP)
|
100% |
318
3.78 IPS |
|
|
Face Detection (Q)
|
96% |
555
6.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
529
4.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
326
2.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
506
4.03 IPS |
|
|
Style Transfer (SP)
|
100% |
1034
1.33 IPS |
|
|
Style Transfer (HP)
|
100% |
872
1.12 IPS |
|
|
Style Transfer (Q)
|
87% |
981
1.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
221
8.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
180
6.64 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
251
9.28 IPS |
|
|
Text Classification (SP)
|
100% |
214
285.4 IPS |
|
|
Text Classification (HP)
|
100% |
112
148.9 IPS |
|
|
Text Classification (Q)
|
97% |
117
157.4 IPS |
|
|
Machine Translation (SP)
|
100% |
207
3.56 IPS |
|
|
Machine Translation (HP)
|
100% |
172
2.96 IPS |
|
|
Machine Translation (Q)
|
68% |
363
7.01 IPS |
