LENOVO 20CLA02TUK
Geekbench AI Score
433
Single Precision Score
462
Half Precision Score
603
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | CallumBench |
| Upload Date | February 02 2025 10:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-5200U CPU @ 2.20GHz |
| 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% |
259
48.1 IPS |
|
|
Image Classification (HP)
|
100% |
254
47.3 IPS |
|
|
Image Classification (Q)
|
100% |
426
79.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
319
5.17 IPS |
|
|
Image Segmentation (Q)
|
99% |
456
7.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
580
0.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
590
0.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
910
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
87% |
350
28.1 IPS |
|
|
Face Detection (SP)
|
100% |
574
6.82 IPS |
|
|
Face Detection (HP)
|
100% |
624
7.42 IPS |
|
|
Face Detection (Q)
|
97% |
440
5.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
278
2.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
631
4.86 IPS |
|
|
Depth Estimation (Q)
|
81% |
1090
8.60 IPS |
|
|
Style Transfer (SP)
|
100% |
1874
2.41 IPS |
|
|
Style Transfer (HP)
|
100% |
1770
2.27 IPS |
|
|
Style Transfer (Q)
|
98% |
2412
3.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
329
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
324
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
512
19.0 IPS |
|
|
Text Classification (SP)
|
100% |
366
488.7 IPS |
|
|
Text Classification (HP)
|
100% |
331
441.3 IPS |
|
|
Text Classification (Q)
|
91% |
337
452.8 IPS |
|
|
Machine Translation (SP)
|
100% |
527
9.07 IPS |
|
|
Machine Translation (HP)
|
100% |
555
9.56 IPS |
|
|
Machine Translation (Q)
|
100% |
518
8.93 IPS |
