LENOVO 82Y7
Geekbench AI Score
515
Single Precision Score
201
Half Precision Score
955
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | arifzal |
| Upload Date | July 26 2025 10:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82Y7 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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% |
783
145.7 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.7 IPS |
|
|
Image Classification (Q)
|
99% |
400
74.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
67
1.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
87
1.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
547
8.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
472
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
458
0.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
2255
2.64 IPS |
|
|
Object Detection (SP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (HP)
|
100% |
75
5.96 IPS |
|
|
Object Detection (Q)
|
86% |
1025
82.4 IPS |
|
|
Face Detection (SP)
|
100% |
1486
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
209
2.48 IPS |
|
|
Face Detection (Q)
|
97% |
3125
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1260
9.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
405
3.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
3237
25.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1777
2.28 IPS |
|
|
Style Transfer (HP)
|
100% |
1248
1.60 IPS |
|
|
Style Transfer (Q)
|
98% |
2145
2.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
258
9.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
174
6.42 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
811
30.0 IPS |
|
|
Text Classification (SP)
|
100% |
564
752.4 IPS |
|
|
Text Classification (HP)
|
100% |
224
298.8 IPS |
|
|
Text Classification (Q)
|
97% |
148
198.2 IPS |
|
|
Machine Translation (SP)
|
100% |
248
4.28 IPS |
|
|
Machine Translation (HP)
|
100% |
94
1.62 IPS |
|
|
Machine Translation (Q)
|
65% |
483
9.70 IPS |
