LENOVO 20208
Geekbench AI Score
696
Single Precision Score
394
Half Precision Score
724
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | harrys123jp |
| Upload Date | August 25 2025 08:51 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3632QM |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20208 |
| Motherboard | LENOVO 20208 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3632QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
361
67.1 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (Q)
|
96% |
400
74.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
334
5.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
584
9.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
994
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
802
0.94 IPS |
|
|
Pose Estimation (Q)
|
86% |
991
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (HP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (Q)
|
58% |
363
39.6 IPS |
|
|
Face Detection (SP)
|
100% |
1146
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
486
5.78 IPS |
|
|
Face Detection (Q)
|
96% |
1164
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1152
8.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
592
4.56 IPS |
|
|
Depth Estimation (Q)
|
78% |
1187
9.45 IPS |
|
|
Style Transfer (SP)
|
100% |
2447
3.15 IPS |
|
|
Style Transfer (HP)
|
100% |
2017
2.59 IPS |
|
|
Style Transfer (Q)
|
87% |
2225
2.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
511
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
404
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
549
20.3 IPS |
|
|
Text Classification (SP)
|
100% |
473
631.0 IPS |
|
|
Text Classification (HP)
|
100% |
221
294.4 IPS |
|
|
Text Classification (Q)
|
97% |
415
555.4 IPS |
|
|
Machine Translation (SP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
68% |
679
13.1 IPS |
