LENOVO 82WK
Geekbench AI Score
1908
Single Precision Score
681
Half Precision Score
3135
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | GT-Avalanche |
| Upload Date | February 21 2025 03:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82WK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| 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% |
1299
241.5 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.2 IPS |
|
|
Image Classification (Q)
|
99% |
2374
442.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
870
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
1484
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3449
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1796
2.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
11437
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
100% |
325
25.8 IPS |
|
|
Object Detection (Q)
|
86% |
2438
195.9 IPS |
|
|
Face Detection (SP)
|
100% |
3952
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
797
9.47 IPS |
|
|
Face Detection (Q)
|
97% |
3906
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4117
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
935
7.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
7614
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8204
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
4433
5.70 IPS |
|
|
Style Transfer (Q)
|
98% |
14293
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1305
48.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
830
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2264
83.8 IPS |
|
|
Text Classification (SP)
|
100% |
696
928.8 IPS |
|
|
Text Classification (HP)
|
100% |
326
435.2 IPS |
|
|
Text Classification (Q)
|
97% |
759
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
372
6.40 IPS |
|
|
Machine Translation (Q)
|
65% |
1282
25.8 IPS |
