LENOVO 82WK
Geekbench AI Score
1986
Single Precision Score
365
Half Precision Score
2217
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | rbtree |
| Upload Date | August 16 2024 01:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82WK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1125
209.1 IPS |
|
|
Image Classification (HP)
|
100% |
69
12.8 IPS |
|
|
Image Classification (Q)
|
99% |
1814
338.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1006
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
125
2.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
1308
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4870
5.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
1963
2.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
15344
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.59 IPS |
|
|
Object Detection (Q)
|
88% |
1015
81.3 IPS |
|
|
Face Detection (SP)
|
100% |
2390
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
146
1.74 IPS |
|
|
Face Detection (Q)
|
97% |
2110
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4457
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
449
3.46 IPS |
|
|
Depth Estimation (Q)
|
76% |
5244
42.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10944
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5002
6.43 IPS |
|
|
Style Transfer (Q)
|
98% |
14824
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1673
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
878
32.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2034
75.3 IPS |
|
|
Text Classification (SP)
|
100% |
693
925.0 IPS |
|
|
Text Classification (HP)
|
100% |
286
381.3 IPS |
|
|
Text Classification (Q)
|
97% |
202
270.0 IPS |
|
|
Machine Translation (SP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
316
5.45 IPS |
|
|
Machine Translation (Q)
|
60% |
1154
25.7 IPS |
