LENOVO 20207
Geekbench AI Score
217
Single Precision Score
151
Half Precision Score
235
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | baalmalki |
| Upload Date | April 10 2025 05:23 PM |
| Views | 5 |
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 20207 |
| Motherboard | LENOVO 20207 |
| 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 | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
114
21.2 IPS |
|
|
Image Classification (HP)
|
100% |
74
13.8 IPS |
|
|
Image Classification (Q)
|
96% |
167
31.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
122
1.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
108
1.74 IPS |
|
|
Image Segmentation (Q)
|
97% |
149
2.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
255
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
224
0.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
330
0.39 IPS |
|
|
Object Detection (SP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (HP)
|
100% |
83
6.59 IPS |
|
|
Object Detection (Q)
|
58% |
110
12.0 IPS |
|
|
Face Detection (SP)
|
100% |
397
4.71 IPS |
|
|
Face Detection (HP)
|
100% |
217
2.58 IPS |
|
|
Face Detection (Q)
|
96% |
393
4.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
362
2.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
226
1.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
367
2.92 IPS |
|
|
Style Transfer (SP)
|
100% |
690
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
617
0.79 IPS |
|
|
Style Transfer (Q)
|
87% |
754
0.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
151
5.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
131
4.84 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
182
6.75 IPS |
|
|
Text Classification (SP)
|
100% |
144
191.6 IPS |
|
|
Text Classification (HP)
|
100% |
94
125.2 IPS |
|
|
Text Classification (Q)
|
97% |
107
143.0 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (HP)
|
100% |
115
1.97 IPS |
|
|
Machine Translation (Q)
|
68% |
278
5.38 IPS |
