LENOVO 82WM
Geekbench AI Score
18000
Single Precision Score
31066
Half Precision Score
14189
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | WalterTang |
| Upload Date | December 03 2025 08:39 AM |
| Views | 8 |
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% |
7233
1.35 KIPS |
|
|
Image Classification (HP)
|
99% |
12690
2.37 KIPS |
|
|
Image Classification (Q)
|
99% |
6658
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13008
210.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18562
300.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11726
190.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
90767
105.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
254131
296.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
79561
93.2 IPS |
|
|
Object Detection (SP)
|
100% |
8927
708.1 IPS |
|
|
Object Detection (HP)
|
100% |
16760
1.33 KIPS |
|
|
Object Detection (Q)
|
84% |
7867
634.5 IPS |
|
|
Face Detection (SP)
|
100% |
21940
260.7 IPS |
|
|
Face Detection (HP)
|
100% |
36330
431.7 IPS |
|
|
Face Detection (Q)
|
97% |
19523
232.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
41924
323.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
84541
651.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
34211
273.7 IPS |
|
|
Style Transfer (SP)
|
100% |
139743
179.6 IPS |
|
|
Style Transfer (HP)
|
100% |
355931
457.6 IPS |
|
|
Style Transfer (Q)
|
98% |
126184
162.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28477
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47593
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21788
806.8 IPS |
|
|
Text Classification (SP)
|
100% |
3022
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3507
4.68 KIPS |
|
|
Text Classification (Q)
|
97% |
1894
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4234
72.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4574
78.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1947
36.5 IPS |
