LENOVO 82WK
Geekbench AI Score
14616
Single Precision Score
23925
Half Precision Score
11319
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | rbtree |
| Upload Date | August 17 2024 03:09 AM |
| Views | 9 |
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% |
6569
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
10463
1.95 KIPS |
|
|
Image Classification (Q)
|
100% |
5436
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9374
152.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11178
181.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8565
139.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
72196
84.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
195959
228.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
60779
71.2 IPS |
|
|
Object Detection (SP)
|
100% |
6949
551.2 IPS |
|
|
Object Detection (HP)
|
100% |
11469
909.7 IPS |
|
|
Object Detection (Q)
|
88% |
6391
512.6 IPS |
|
|
Face Detection (SP)
|
100% |
16226
192.8 IPS |
|
|
Face Detection (HP)
|
100% |
23647
281.0 IPS |
|
|
Face Detection (Q)
|
97% |
12709
151.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
31795
245.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
68922
531.0 IPS |
|
|
Depth Estimation (Q)
|
72% |
28592
236.3 IPS |
|
|
Style Transfer (SP)
|
100% |
127332
163.7 IPS |
|
|
Style Transfer (HP)
|
100% |
359855
462.6 IPS |
|
|
Style Transfer (Q)
|
98% |
131023
169.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28861
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42114
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19252
712.9 IPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
99% |
3638
4.86 KIPS |
|
|
Text Classification (Q)
|
97% |
1714
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2592
44.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2602
45.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1216
27.1 IPS |
