LENOVO 20CLA02TUK
Geekbench AI Score
405
Single Precision Score
235
Half Precision Score
509
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | CallumBench |
| Upload Date | February 02 2025 10:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-5200U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20CLA02TUK |
| Motherboard | LENOVO 20CLA02TUK |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-5200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
260
48.3 IPS |
|
|
Image Classification (HP)
|
100% |
100
18.6 IPS |
|
|
Image Classification (Q)
|
96% |
310
57.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
151
2.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
139
2.25 IPS |
|
|
Image Segmentation (Q)
|
97% |
296
4.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
532
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
430
0.50 IPS |
|
|
Pose Estimation (Q)
|
86% |
733
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.13 IPS |
|
|
Object Detection (Q)
|
58% |
232
25.3 IPS |
|
|
Face Detection (SP)
|
100% |
557
6.62 IPS |
|
|
Face Detection (HP)
|
100% |
254
3.02 IPS |
|
|
Face Detection (Q)
|
96% |
760
9.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
703
5.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
367
2.83 IPS |
|
|
Depth Estimation (Q)
|
78% |
900
7.19 IPS |
|
|
Style Transfer (SP)
|
100% |
1488
1.91 IPS |
|
|
Style Transfer (HP)
|
100% |
1113
1.43 IPS |
|
|
Style Transfer (Q)
|
87% |
1783
2.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
284
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
403
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
342
455.9 IPS |
|
|
Text Classification (HP)
|
100% |
165
219.9 IPS |
|
|
Text Classification (Q)
|
97% |
373
499.7 IPS |
|
|
Machine Translation (SP)
|
100% |
407
7.00 IPS |
|
|
Machine Translation (HP)
|
100% |
159
2.74 IPS |
|
|
Machine Translation (Q)
|
68% |
410
7.92 IPS |
