LENOVO 82WM
Geekbench AI Score
18014
Single Precision Score
31012
Half Precision Score
14173
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | WalterTang |
| Upload Date | June 19 2025 07:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 82WM |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7292
1.36 KIPS |
|
|
Image Classification (HP)
|
99% |
12993
2.42 KIPS |
|
|
Image Classification (Q)
|
99% |
6706
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12917
209.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18384
298.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11676
189.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
89794
104.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
248404
289.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
78487
92.0 IPS |
|
|
Object Detection (SP)
|
100% |
8961
710.8 IPS |
|
|
Object Detection (HP)
|
100% |
16870
1.34 KIPS |
|
|
Object Detection (Q)
|
84% |
7883
635.8 IPS |
|
|
Face Detection (SP)
|
100% |
21856
259.7 IPS |
|
|
Face Detection (HP)
|
100% |
35403
420.7 IPS |
|
|
Face Detection (Q)
|
97% |
19398
231.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
41084
316.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
79160
609.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
33896
271.2 IPS |
|
|
Style Transfer (SP)
|
100% |
139147
178.9 IPS |
|
|
Style Transfer (HP)
|
100% |
344509
442.9 IPS |
|
|
Style Transfer (Q)
|
98% |
125042
161.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28770
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48797
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21421
793.2 IPS |
|
|
Text Classification (SP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3792
5.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1970
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4341
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4602
79.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1947
36.5 IPS |
