LENOVO 82WM
Geekbench AI Score
8622
Single Precision Score
8717
Half Precision Score
21663
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | WalterTang |
| Upload Date | December 03 2025 08:37 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7945HX with Radeon Graphics |
| 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% |
4846
901.2 IPS |
|
|
Image Classification (HP)
|
100% |
4693
872.8 IPS |
|
|
Image Classification (Q)
|
100% |
12639
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6691
108.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6858
111.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18772
304.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14885
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14859
17.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
60593
70.9 IPS |
|
|
Object Detection (SP)
|
100% |
5075
402.5 IPS |
|
|
Object Detection (HP)
|
100% |
5446
432.0 IPS |
|
|
Object Detection (Q)
|
88% |
13412
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
12093
143.7 IPS |
|
|
Face Detection (HP)
|
100% |
12023
142.9 IPS |
|
|
Face Detection (Q)
|
100% |
33978
403.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13752
106.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13995
107.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
42725
332.5 IPS |
|
|
Style Transfer (SP)
|
100% |
39185
50.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39193
50.4 IPS |
|
|
Style Transfer (Q)
|
98% |
144656
186.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7857
290.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7525
277.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22604
837.1 IPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
3567
4.76 KIPS |
|
|
Text Classification (Q)
|
92% |
4076
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5372
92.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5497
94.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6102
105.1 IPS |
