LENOVO 82WS
Geekbench AI Score
5325
Single Precision Score
1930
Half Precision Score
10206
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | h31nz3 |
| Upload Date | April 20 2026 06:19 PM |
| Views | 4 |
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 82WS |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4218
784.5 IPS |
|
|
Image Classification (HP)
|
100% |
618
114.9 IPS |
|
|
Image Classification (Q)
|
99% |
9442
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2341
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
833
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12610
205.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14172
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9609
11.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
40447
47.4 IPS |
|
|
Object Detection (SP)
|
100% |
4213
334.2 IPS |
|
|
Object Detection (HP)
|
100% |
777
61.6 IPS |
|
|
Object Detection (Q)
|
86% |
9371
753.1 IPS |
|
|
Face Detection (SP)
|
100% |
8123
96.5 IPS |
|
|
Face Detection (HP)
|
100% |
1497
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
12746
152.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12019
92.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2912
22.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
21571
172.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25832
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23352
30.0 IPS |
|
|
Style Transfer (Q)
|
98% |
36780
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2730
100.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2398
88.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4861
180.0 IPS |
|
|
Text Classification (SP)
|
100% |
1457
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1277
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4330
87.0 IPS |
