LENOVO 82WK
Geekbench AI Score
2098
Single Precision Score
838
Half Precision Score
3963
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rolandcfoster |
| Upload Date | October 02 2025 09:36 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82WK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1850
344.0 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.2 IPS |
|
|
Image Classification (Q)
|
99% |
3287
613.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
981
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
544
8.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
4699
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3241
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2372
2.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
11253
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
100% |
392
31.1 IPS |
|
|
Object Detection (Q)
|
86% |
3255
261.6 IPS |
|
|
Face Detection (SP)
|
100% |
4884
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
907
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
4960
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4125
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1134
8.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
7792
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8032
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5677
7.30 IPS |
|
|
Style Transfer (Q)
|
98% |
14019
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1044
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2664
98.6 IPS |
|
|
Text Classification (SP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
371
495.8 IPS |
|
|
Text Classification (Q)
|
97% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1064
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.60 IPS |
|
|
Machine Translation (Q)
|
65% |
1529
30.7 IPS |
