LENOVO 20KES23M0H
Geekbench AI Score
1182
Single Precision Score
1179
Half Precision Score
1796
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | xDJoelDx |
| Upload Date | January 16 2025 11:23 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7300U CPU @ 2.60GHz |
| 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% |
665
123.6 IPS |
|
|
Image Classification (HP)
|
100% |
678
126.2 IPS |
|
|
Image Classification (Q)
|
100% |
1087
202.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1144
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1370
1.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1296
1.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
2528
2.97 IPS |
|
|
Object Detection (SP)
|
100% |
660
52.4 IPS |
|
|
Object Detection (HP)
|
100% |
666
52.8 IPS |
|
|
Object Detection (Q)
|
87% |
1138
91.3 IPS |
|
|
Face Detection (SP)
|
100% |
1610
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1601
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
2804
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1839
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1821
14.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
2971
23.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3993
5.13 IPS |
|
|
Style Transfer (HP)
|
100% |
4075
5.24 IPS |
|
|
Style Transfer (Q)
|
98% |
7072
9.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
844
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
838
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1504
55.7 IPS |
|
|
Text Classification (SP)
|
100% |
932
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
925
1.24 KIPS |
|
|
Text Classification (Q)
|
91% |
850
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1308
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1302
22.4 IPS |
