LAPTOP LENOVO 82MS LENOVO 82MS
Geekbench AI Score
3119
Single Precision Score
4395
Half Precision Score
2329
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mvodya |
| Upload Date | February 03 2025 03:07 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | LENOVO 82MS |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1140
212.1 IPS |
|
|
Image Classification (HP)
|
100% |
1733
322.2 IPS |
|
|
Image Classification (Q)
|
100% |
1048
194.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1170
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12987
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23707
27.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
10423
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1314
104.2 IPS |
|
|
Object Detection (HP)
|
100% |
1736
137.7 IPS |
|
|
Object Detection (Q)
|
88% |
1170
93.8 IPS |
|
|
Face Detection (SP)
|
100% |
2541
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
3791
45.0 IPS |
|
|
Face Detection (Q)
|
97% |
2156
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7235
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10936
84.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
5552
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22144
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36529
47.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16922
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4263
157.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6794
250.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2890
107.0 IPS |
|
|
Text Classification (SP)
|
100% |
1207
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1226
1.64 KIPS |
|
|
Text Classification (Q)
|
97% |
756
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1552
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1713
29.5 IPS |
|
|
Machine Translation (Q)
|
70% |
710
13.3 IPS |
