LENOVO 20L7S1CA00
Geekbench AI Score
1383
Single Precision Score
1320
Half Precision Score
2219
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 05:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8250U CPU @ 1.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 20L7S1CA00 |
| Motherboard | LENOVO 20L7S1CA00 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1017
189.1 IPS |
|
|
Image Classification (HP)
|
100% |
965
179.4 IPS |
|
|
Image Classification (Q)
|
100% |
1732
322.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
864
14.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1601
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1783
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1630
1.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
3561
4.18 IPS |
|
|
Object Detection (SP)
|
100% |
756
60.0 IPS |
|
|
Object Detection (HP)
|
100% |
780
61.9 IPS |
|
|
Object Detection (Q)
|
87% |
1204
96.5 IPS |
|
|
Face Detection (SP)
|
100% |
1477
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
1458
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
2500
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2144
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2152
16.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
3566
28.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5108
6.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3905
5.02 IPS |
|
|
Style Transfer (Q)
|
98% |
11006
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
987
36.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1815
67.2 IPS |
|
|
Text Classification (SP)
|
100% |
1204
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1112
1.48 KIPS |
|
|
Text Classification (Q)
|
91% |
1047
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1135
19.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1311
22.6 IPS |
