LENOVO 21C1003AGE
Geekbench AI Score
1603
Single Precision Score
681
Half Precision Score
1926
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 06:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 21C1003AGE |
| Motherboard | LENOVO 21C1003AGE |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1252
232.9 IPS |
|
|
Image Classification (HP)
|
100% |
263
48.9 IPS |
|
|
Image Classification (Q)
|
96% |
1856
346.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
448
7.26 IPS |
|
|
Image Segmentation (Q)
|
97% |
1814
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2619
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
1503
1.75 IPS |
|
|
Pose Estimation (Q)
|
86% |
3884
4.59 IPS |
|
|
Object Detection (SP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (HP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (Q)
|
58% |
1162
126.9 IPS |
|
|
Face Detection (SP)
|
100% |
2123
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
713
8.47 IPS |
|
|
Face Detection (Q)
|
96% |
3252
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3474
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
993
7.65 IPS |
|
|
Depth Estimation (Q)
|
78% |
4238
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6167
7.93 IPS |
|
|
Style Transfer (HP)
|
100% |
3935
5.06 IPS |
|
|
Style Transfer (Q)
|
87% |
6170
8.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1114
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
799
29.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1654
61.3 IPS |
|
|
Text Classification (SP)
|
100% |
829
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
401
535.7 IPS |
|
|
Text Classification (Q)
|
97% |
293
393.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.96 IPS |
|
|
Machine Translation (Q)
|
68% |
1127
21.8 IPS |
