LENOVO 20AUS1MG00
Geekbench AI Score
442
Single Precision Score
249
Half Precision Score
923
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | harrys123jp |
| Upload Date | August 25 2025 06:37 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4700MQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20AUS1MG00 |
| Motherboard | LENOVO 20AUS1MG00 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4700MQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.39 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
332
61.8 IPS |
|
|
Image Classification (HP)
|
100% |
102
18.9 IPS |
|
|
Image Classification (Q)
|
96% |
712
133.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
178
2.88 IPS |
|
|
Image Segmentation (Q)
|
97% |
752
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
594
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
489
0.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
1393
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.46 IPS |
|
|
Object Detection (Q)
|
58% |
445
48.6 IPS |
|
|
Face Detection (SP)
|
100% |
679
8.07 IPS |
|
|
Face Detection (HP)
|
100% |
305
3.63 IPS |
|
|
Face Detection (Q)
|
96% |
1398
16.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
636
4.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
297
2.29 IPS |
|
|
Depth Estimation (Q)
|
78% |
1405
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1688
2.17 IPS |
|
|
Style Transfer (HP)
|
100% |
1247
1.60 IPS |
|
|
Style Transfer (Q)
|
87% |
3213
4.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
346
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
244
9.01 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
824
30.5 IPS |
|
|
Text Classification (SP)
|
100% |
298
397.5 IPS |
|
|
Text Classification (HP)
|
100% |
171
227.6 IPS |
|
|
Text Classification (Q)
|
97% |
452
605.1 IPS |
|
|
Machine Translation (SP)
|
100% |
362
6.24 IPS |
|
|
Machine Translation (HP)
|
100% |
207
3.57 IPS |
|
|
Machine Translation (Q)
|
68% |
580
11.2 IPS |
