LENOVO 20QR002LIX
Geekbench AI Score
2808
Single Precision Score
2914
Half Precision Score
4052
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 07:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9850H CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20QR002LIX |
| Motherboard | LENOVO 20QR002LIX |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2096
389.7 IPS |
|
|
Image Classification (HP)
|
100% |
2019
375.5 IPS |
|
|
Image Classification (Q)
|
100% |
3064
569.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1732
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3420
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3741
4.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3741
4.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
7201
8.45 IPS |
|
|
Object Detection (SP)
|
100% |
1090
86.5 IPS |
|
|
Object Detection (HP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (Q)
|
87% |
3150
252.6 IPS |
|
|
Face Detection (SP)
|
100% |
3508
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
3500
41.6 IPS |
|
|
Face Detection (Q)
|
97% |
8334
99.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4989
38.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5060
39.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
7851
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10690
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11283
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15647
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1976
73.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2997
111.0 IPS |
|
|
Text Classification (SP)
|
100% |
2119
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1571
2.10 KIPS |
|
|
Text Classification (Q)
|
91% |
575
772.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2176
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2958
50.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2852
49.1 IPS |
