LENOVO 82WM
Geekbench AI Score
3933
Single Precision Score
1542
Half Precision Score
7794
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 09 2026 12:43 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7945HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82WM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3316
616.7 IPS |
|
|
Image Classification (HP)
|
100% |
593
110.2 IPS |
|
|
Image Classification (Q)
|
99% |
6975
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9691
157.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8013
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
6443
7.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
27068
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
3174
251.8 IPS |
|
|
Object Detection (HP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (Q)
|
86% |
8533
685.8 IPS |
|
|
Face Detection (SP)
|
100% |
6487
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
1291
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
9973
118.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8907
68.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2126
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
15959
127.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17336
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16996
21.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26844
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2219
81.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2130
78.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3932
145.6 IPS |
|
|
Text Classification (SP)
|
100% |
1167
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
614
819.2 IPS |
|
|
Text Classification (Q)
|
97% |
1072
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2244
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2943
59.1 IPS |
