LENOVO 20KES23M0H
Geekbench AI Score
1354
Single Precision Score
2046
Half Precision Score
1964
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | xDJoelDx |
| Upload Date | January 16 2025 11:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 620 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20KES23M0H |
| Motherboard | LENOVO 20KES23M0H |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7300U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
891
165.8 IPS |
|
|
Image Classification (HP)
|
100% |
1483
275.7 IPS |
|
|
Image Classification (Q)
|
100% |
1354
251.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
890
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1591
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2474
2.89 IPS |
|
|
Pose Estimation (HP)
|
99% |
2313
2.71 IPS |
|
|
Pose Estimation (Q)
|
97% |
3389
3.97 IPS |
|
|
Object Detection (SP)
|
100% |
829
65.8 IPS |
|
|
Object Detection (HP)
|
99% |
1438
114.4 IPS |
|
|
Object Detection (Q)
|
88% |
1372
110.0 IPS |
|
|
Face Detection (SP)
|
100% |
1888
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
3654
43.4 IPS |
|
|
Face Detection (Q)
|
97% |
3293
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2766
21.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4849
37.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
4355
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6899
8.87 IPS |
|
|
Style Transfer (HP)
|
100% |
9222
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
8152
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1184
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2036
75.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1956
72.4 IPS |
|
|
Text Classification (SP)
|
71% |
485
701.6 IPS |
|
|
Text Classification (HP)
|
71% |
560
809.5 IPS |
|
|
Text Classification (Q)
|
92% |
445
597.2 IPS |
|
|
Machine Translation (SP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (HP)
|
97% |
838
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
840
14.5 IPS |
