LENOVO 20XXS4FY00
Geekbench AI Score
1220
Single Precision Score
660
Half Precision Score
2445
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20XXS4FY00 |
| Motherboard | LENOVO 20XXS4FY00 |
| Power Plan | Balanced |
| 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% |
827
153.9 IPS |
|
|
Image Classification (HP)
|
100% |
270
50.2 IPS |
|
|
Image Classification (Q)
|
99% |
2119
395.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
550
8.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
1416
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1556
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1314
1.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
5965
6.99 IPS |
|
|
Object Detection (SP)
|
100% |
800
63.5 IPS |
|
|
Object Detection (HP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (Q)
|
86% |
1935
155.5 IPS |
|
|
Face Detection (SP)
|
100% |
2162
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
772
9.17 IPS |
|
|
Face Detection (Q)
|
97% |
3981
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2070
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
948
7.31 IPS |
|
|
Depth Estimation (Q)
|
78% |
5623
44.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4064
5.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3232
4.15 IPS |
|
|
Style Transfer (Q)
|
98% |
9301
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
789
29.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2465
91.3 IPS |
|
|
Text Classification (SP)
|
100% |
869
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
478
638.4 IPS |
|
|
Text Classification (Q)
|
97% |
316
423.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
442
7.62 IPS |
|
|
Machine Translation (Q)
|
65% |
1361
27.4 IPS |
