LENOVO 82WM
Geekbench AI Score
4648
Single Precision Score
1612
Half Precision Score
8452
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | WalterTang |
| Upload Date | June 19 2025 07:42 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% |
3839
713.9 IPS |
|
|
Image Classification (HP)
|
100% |
548
102.0 IPS |
|
|
Image Classification (Q)
|
99% |
9616
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
749
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4123
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11556
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7402
8.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
36149
42.4 IPS |
|
|
Object Detection (SP)
|
100% |
3419
271.2 IPS |
|
|
Object Detection (HP)
|
100% |
618
49.0 IPS |
|
|
Object Detection (Q)
|
86% |
8927
717.4 IPS |
|
|
Face Detection (SP)
|
100% |
7217
85.8 IPS |
|
|
Face Detection (HP)
|
100% |
1451
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
12129
144.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9973
76.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2224
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17289
138.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23063
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17219
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32403
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2365
87.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2192
80.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3531
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
1499
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
688
917.7 IPS |
|
|
Text Classification (Q)
|
97% |
1425
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2811
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4258
85.6 IPS |
