LENOVO 82YA
Geekbench AI Score
1217
Single Precision Score
511
Half Precision Score
2010
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Rmlamfun |
| Upload Date | April 10 2025 04:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82YA |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
933
173.5 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.7 IPS |
|
|
Image Classification (Q)
|
99% |
1565
291.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
493
7.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
925
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2112
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1491
1.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
6845
8.03 IPS |
|
|
Object Detection (SP)
|
100% |
910
72.1 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (Q)
|
86% |
1875
150.7 IPS |
|
|
Face Detection (SP)
|
100% |
2594
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
517
6.14 IPS |
|
|
Face Detection (Q)
|
97% |
2694
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2628
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
666
5.13 IPS |
|
|
Depth Estimation (Q)
|
78% |
4598
36.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5287
6.80 IPS |
|
|
Style Transfer (HP)
|
100% |
6695
8.61 IPS |
|
|
Style Transfer (Q)
|
98% |
9001
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
880
32.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
625
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1169
43.3 IPS |
|
|
Text Classification (SP)
|
100% |
438
584.5 IPS |
|
|
Text Classification (HP)
|
100% |
209
279.6 IPS |
|
|
Text Classification (Q)
|
97% |
444
595.1 IPS |
|
|
Machine Translation (SP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
309
5.33 IPS |
|
|
Machine Translation (Q)
|
65% |
1002
20.1 IPS |
