LENOVO 20Q6S0NX00
Geekbench AI Score
1386
Single Precision Score
2053
Half Precision Score
1969
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | damarbob |
| Upload Date | July 06 2025 11:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 620 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20Q6S0NX00 |
| Motherboard | LENOVO 20Q6S0NX00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8365U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
928
172.7 IPS |
|
|
Image Classification (HP)
|
100% |
1377
256.0 IPS |
|
|
Image Classification (Q)
|
100% |
1252
232.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2026
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1921
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2552
2.98 IPS |
|
|
Pose Estimation (HP)
|
99% |
2351
2.75 IPS |
|
|
Pose Estimation (Q)
|
97% |
3450
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
878
69.6 IPS |
|
|
Object Detection (HP)
|
99% |
1431
113.8 IPS |
|
|
Object Detection (Q)
|
88% |
1345
107.9 IPS |
|
|
Face Detection (SP)
|
100% |
2337
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
3975
47.2 IPS |
|
|
Face Detection (Q)
|
97% |
3673
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2850
22.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4854
37.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
4346
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6986
8.98 IPS |
|
|
Style Transfer (HP)
|
100% |
9344
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8474
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1175
43.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1992
73.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1902
70.4 IPS |
|
|
Text Classification (SP)
|
71% |
430
622.1 IPS |
|
|
Text Classification (HP)
|
71% |
477
689.8 IPS |
|
|
Text Classification (Q)
|
92% |
410
550.1 IPS |
|
|
Machine Translation (SP)
|
100% |
508
8.76 IPS |
|
|
Machine Translation (HP)
|
99% |
831
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
746
12.9 IPS |
