LENOVO 82WM
Geekbench AI Score
4926
Single Precision Score
1712
Half Precision Score
8886
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | WalterTang |
| Upload Date | June 19 2025 07:45 AM |
| Views | 3 |
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% |
3882
721.9 IPS |
|
|
Image Classification (HP)
|
100% |
540
100.4 IPS |
|
|
Image Classification (Q)
|
99% |
9238
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2032
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4091
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11486
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8376
9.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
40318
47.3 IPS |
|
|
Object Detection (SP)
|
100% |
4072
323.0 IPS |
|
|
Object Detection (HP)
|
100% |
684
54.3 IPS |
|
|
Object Detection (Q)
|
86% |
10541
847.1 IPS |
|
|
Face Detection (SP)
|
100% |
7396
87.9 IPS |
|
|
Face Detection (HP)
|
100% |
1403
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
12601
150.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11339
87.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2662
20.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
19803
158.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25400
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22338
28.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33789
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2562
94.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2190
80.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4007
148.4 IPS |
|
|
Text Classification (SP)
|
100% |
1481
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
673
898.7 IPS |
|
|
Text Classification (Q)
|
97% |
1379
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2825
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4106
82.5 IPS |
