LENOVO 82WK
Geekbench AI Score
15398
Single Precision Score
23688
Half Precision Score
11510
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | rbtree |
| Upload Date | August 16 2024 01:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| 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% |
6505
1.21 KIPS |
|
|
Image Classification (HP)
|
99% |
10604
1.98 KIPS |
|
|
Image Classification (Q)
|
100% |
5849
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9285
150.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11450
185.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8606
139.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
88712
103.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
226998
264.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
68584
80.3 IPS |
|
|
Object Detection (SP)
|
100% |
7508
595.5 IPS |
|
|
Object Detection (HP)
|
100% |
10725
850.7 IPS |
|
|
Object Detection (Q)
|
88% |
6380
511.6 IPS |
|
|
Face Detection (SP)
|
100% |
16479
195.8 IPS |
|
|
Face Detection (HP)
|
100% |
22843
271.4 IPS |
|
|
Face Detection (Q)
|
97% |
13914
165.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
37283
287.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
69392
534.6 IPS |
|
|
Depth Estimation (Q)
|
72% |
28854
238.4 IPS |
|
|
Style Transfer (SP)
|
100% |
150764
193.8 IPS |
|
|
Style Transfer (HP)
|
100% |
343260
441.3 IPS |
|
|
Style Transfer (Q)
|
98% |
121621
156.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28689
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38038
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18431
682.5 IPS |
|
|
Text Classification (SP)
|
100% |
2733
3.65 KIPS |
|
|
Text Classification (HP)
|
99% |
3384
4.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1733
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2566
44.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2687
46.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1188
26.5 IPS |
