LENOVO 20U1S1KK00
Geekbench AI Score
842
Single Precision Score
395
Half Precision Score
966
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | samuelpuig |
| Upload Date | November 03 2024 07:25 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10310U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20U1S1KK00 |
| Motherboard | LENOVO 20U1S1KK00 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10310U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
715
133.0 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.5 IPS |
|
|
Image Classification (Q)
|
96% |
841
157.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
434
7.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
97% |
584
9.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
942
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
757
0.88 IPS |
|
|
Pose Estimation (Q)
|
87% |
1969
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (HP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (Q)
|
86% |
585
47.1 IPS |
|
|
Face Detection (SP)
|
100% |
889
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
449
5.34 IPS |
|
|
Face Detection (Q)
|
96% |
1417
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1337
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
537
4.14 IPS |
|
|
Depth Estimation (Q)
|
77% |
1399
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2681
3.45 IPS |
|
|
Style Transfer (HP)
|
100% |
1999
2.57 IPS |
|
|
Style Transfer (Q)
|
87% |
4035
5.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
636
23.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
432
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1023
37.9 IPS |
|
|
Text Classification (SP)
|
100% |
904
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
353
471.6 IPS |
|
|
Text Classification (Q)
|
97% |
255
341.2 IPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
215
3.70 IPS |
|
|
Machine Translation (Q)
|
60% |
601
13.4 IPS |
