LENOVO 82WM
Geekbench AI Score
4972
Single Precision Score
1761
Half Precision Score
8779
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | WalterTang |
| Upload Date | December 03 2025 08:34 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7945HX |
| 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% |
3740
695.5 IPS |
|
|
Image Classification (HP)
|
100% |
550
102.4 IPS |
|
|
Image Classification (Q)
|
99% |
8871
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2312
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
768
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4099
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12463
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8882
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
40974
48.0 IPS |
|
|
Object Detection (SP)
|
100% |
3840
304.6 IPS |
|
|
Object Detection (HP)
|
100% |
709
56.2 IPS |
|
|
Object Detection (Q)
|
86% |
9682
778.1 IPS |
|
|
Face Detection (SP)
|
100% |
7399
87.9 IPS |
|
|
Face Detection (HP)
|
100% |
1455
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
11654
139.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11376
87.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2772
21.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
20784
165.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24159
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21864
28.1 IPS |
|
|
Style Transfer (Q)
|
98% |
34628
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2562
94.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2328
86.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3742
138.6 IPS |
|
|
Text Classification (SP)
|
100% |
1502
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
682
910.7 IPS |
|
|
Text Classification (Q)
|
97% |
1459
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2856
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4121
82.8 IPS |
