LENOVO 13C5CTO1WW
Geekbench AI Score
2526
Single Precision Score
1240
Half Precision Score
5112
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 23 2026 11:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) 5 210H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 13C5CTO1WW |
| Motherboard | LENOVO 338E |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 5 210H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
489
91.0 IPS |
|
|
Image Classification (Q)
|
99% |
3929
732.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1126
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
779
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5264
85.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3716
4.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2897
3.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
12433
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1817
144.1 IPS |
|
|
Object Detection (HP)
|
100% |
618
49.0 IPS |
|
|
Object Detection (Q)
|
86% |
3771
303.1 IPS |
|
|
Face Detection (SP)
|
100% |
4013
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
1337
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
6745
80.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4960
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1835
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
10056
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8580
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6966
8.96 IPS |
|
|
Style Transfer (Q)
|
98% |
15000
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1745
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1490
55.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4082
151.2 IPS |
|
|
Text Classification (SP)
|
100% |
1395
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
705
940.9 IPS |
|
|
Text Classification (Q)
|
97% |
1311
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1672
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2310
46.4 IPS |
