LENOVO 82WM
Geekbench AI Score
4847
Single Precision Score
1707
Half Precision Score
8126
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | molnupiravir |
| Upload Date | April 21 2025 05:21 AM |
| Views | 10 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3788
704.4 IPS |
|
|
Image Classification (HP)
|
100% |
517
96.2 IPS |
|
|
Image Classification (Q)
|
99% |
8910
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2040
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
731
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3865
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13180
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8622
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
38222
44.8 IPS |
|
|
Object Detection (SP)
|
100% |
4041
320.5 IPS |
|
|
Object Detection (HP)
|
100% |
697
55.3 IPS |
|
|
Object Detection (Q)
|
86% |
9383
754.1 IPS |
|
|
Face Detection (SP)
|
100% |
6362
75.6 IPS |
|
|
Face Detection (HP)
|
100% |
1363
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
11167
133.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10588
81.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2592
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
18410
146.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24250
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22827
29.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22060
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2664
98.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2310
85.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3635
134.6 IPS |
|
|
Text Classification (SP)
|
100% |
1352
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
668
892.3 IPS |
|
|
Text Classification (Q)
|
97% |
1314
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2956
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4694
94.3 IPS |
