LENOVO 82Y7
Geekbench AI Score
1908
Single Precision Score
778
Half Precision Score
2910
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | WalkTheEarth |
| Upload Date | January 21 2025 05:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (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% |
1779
330.9 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (Q)
|
99% |
3502
653.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1053
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1772
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3974
4.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2663
3.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
11572
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1174
93.1 IPS |
|
|
Object Detection (HP)
|
100% |
297
23.6 IPS |
|
|
Object Detection (Q)
|
86% |
2604
209.3 IPS |
|
|
Face Detection (SP)
|
100% |
2968
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
756
8.99 IPS |
|
|
Face Detection (Q)
|
97% |
4246
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2983
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
980
7.55 IPS |
|
|
Depth Estimation (Q)
|
78% |
7996
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7166
9.21 IPS |
|
|
Style Transfer (HP)
|
100% |
4721
6.07 IPS |
|
|
Style Transfer (Q)
|
98% |
11088
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1123
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
947
35.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1931
71.5 IPS |
|
|
Text Classification (SP)
|
100% |
1097
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
391
522.5 IPS |
|
|
Text Classification (Q)
|
97% |
286
383.7 IPS |
|
|
Machine Translation (SP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
340
5.86 IPS |
|
|
Machine Translation (Q)
|
65% |
1123
22.6 IPS |
