LENOVO 20XWCTO1WW
Geekbench AI Score
1236
Single Precision Score
632
Half Precision Score
2389
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | vincent_wjw |
| Upload Date | July 01 2025 12:34 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 20XWCTO1WW |
| Motherboard | LENOVO 20XWCTO1WW |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
731
135.9 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.0 IPS |
|
|
Image Classification (Q)
|
99% |
1837
342.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
560
9.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
1206
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1392
1.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
968
1.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
5113
6.00 IPS |
|
|
Object Detection (SP)
|
100% |
768
60.9 IPS |
|
|
Object Detection (HP)
|
100% |
293
23.3 IPS |
|
|
Object Detection (Q)
|
86% |
1630
131.0 IPS |
|
|
Face Detection (SP)
|
100% |
1705
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
690
8.20 IPS |
|
|
Face Detection (Q)
|
97% |
3361
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1808
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
804
6.20 IPS |
|
|
Depth Estimation (Q)
|
78% |
4056
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3702
4.76 IPS |
|
|
Style Transfer (HP)
|
100% |
2181
2.80 IPS |
|
|
Style Transfer (Q)
|
98% |
11885
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
961
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
889
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3277
121.3 IPS |
|
|
Text Classification (SP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
701
935.6 IPS |
|
|
Text Classification (Q)
|
97% |
370
496.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
516
8.89 IPS |
|
|
Machine Translation (Q)
|
65% |
1670
33.6 IPS |
