LENOVO 20VK001PUS
Geekbench AI Score
1672
Single Precision Score
838
Half Precision Score
4099
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Deslok |
| Upload Date | October 03 2025 07:36 PM |
| Views | 5 |
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 20VK001PUS |
| Motherboard | LENOVO 20VK001PUS |
| 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% |
1478
274.9 IPS |
|
|
Image Classification (HP)
|
100% |
387
72.1 IPS |
|
|
Image Classification (Q)
|
99% |
3823
713.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
944
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
568
9.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
4138
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2726
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2215
2.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
9796
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1447
114.8 IPS |
|
|
Object Detection (HP)
|
100% |
477
37.8 IPS |
|
|
Object Detection (Q)
|
86% |
3579
287.6 IPS |
|
|
Face Detection (SP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
1000
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
4474
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1841
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
734
5.65 IPS |
|
|
Depth Estimation (Q)
|
78% |
6491
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3633
4.67 IPS |
|
|
Style Transfer (HP)
|
100% |
2983
3.83 IPS |
|
|
Style Transfer (Q)
|
98% |
9921
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1080
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
996
36.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3744
138.6 IPS |
|
|
Text Classification (SP)
|
100% |
1251
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
663
884.8 IPS |
|
|
Text Classification (Q)
|
97% |
1209
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1339
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (Q)
|
65% |
1854
37.3 IPS |
