LENOVO 82WM
Geekbench AI Score
8589
Single Precision Score
8654
Half Precision Score
21895
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | WalterTang |
| Upload Date | June 19 2025 07:50 AM |
| Views | 4 |
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% |
4689
871.9 IPS |
|
|
Image Classification (HP)
|
100% |
5013
932.3 IPS |
|
|
Image Classification (Q)
|
100% |
12801
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6406
103.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6234
101.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18934
306.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14567
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15112
17.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
60396
70.7 IPS |
|
|
Object Detection (SP)
|
100% |
5298
420.3 IPS |
|
|
Object Detection (HP)
|
100% |
5189
411.6 IPS |
|
|
Object Detection (Q)
|
88% |
13384
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
12125
144.1 IPS |
|
|
Face Detection (HP)
|
100% |
12363
146.9 IPS |
|
|
Face Detection (Q)
|
100% |
34549
410.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13449
103.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13257
102.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
43407
337.8 IPS |
|
|
Style Transfer (SP)
|
100% |
38358
49.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38967
50.1 IPS |
|
|
Style Transfer (Q)
|
98% |
144071
185.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7804
288.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7865
290.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22922
848.9 IPS |
|
|
Text Classification (SP)
|
100% |
3457
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
3450
4.60 KIPS |
|
|
Text Classification (Q)
|
92% |
4090
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5587
96.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5551
95.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6381
109.9 IPS |
