LENOVO 20QR002LIX
Geekbench AI Score
1704
Single Precision Score
2543
Half Precision Score
2430
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 07:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
1074
199.7 IPS |
|
|
Image Classification (HP)
|
100% |
1653
307.5 IPS |
|
|
Image Classification (Q)
|
100% |
1513
281.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2295
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2118
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2687
3.13 IPS |
|
|
Pose Estimation (HP)
|
99% |
2466
2.89 IPS |
|
|
Pose Estimation (Q)
|
97% |
3682
4.31 IPS |
|
|
Object Detection (SP)
|
100% |
1042
82.7 IPS |
|
|
Object Detection (HP)
|
99% |
1701
135.3 IPS |
|
|
Object Detection (Q)
|
88% |
1588
127.4 IPS |
|
|
Face Detection (SP)
|
100% |
2955
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
5048
60.0 IPS |
|
|
Face Detection (Q)
|
97% |
4588
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3152
24.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5337
41.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
4865
37.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7516
9.66 IPS |
|
|
Style Transfer (HP)
|
100% |
10048
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9204
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1309
48.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2292
84.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2180
80.7 IPS |
|
|
Text Classification (SP)
|
71% |
711
1.03 KIPS |
|
|
Text Classification (HP)
|
71% |
822
1.19 KIPS |
|
|
Text Classification (Q)
|
92% |
622
835.4 IPS |
|
|
Machine Translation (SP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (HP)
|
99% |
1398
24.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1381
23.9 IPS |
