LENOVO 82K8
Geekbench AI Score
3076
Single Precision Score
4517
Half Precision Score
2193
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 02:02 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | LENOVO 82K8 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 40.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1186
220.5 IPS |
|
|
Image Classification (HP)
|
100% |
1793
333.5 IPS |
|
|
Image Classification (Q)
|
100% |
1054
196.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1708
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1091
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11788
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
23849
27.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
8138
9.53 IPS |
|
|
Object Detection (SP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (HP)
|
100% |
1806
143.2 IPS |
|
|
Object Detection (Q)
|
88% |
1103
88.4 IPS |
|
|
Face Detection (SP)
|
100% |
2401
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
3764
44.7 IPS |
|
|
Face Detection (Q)
|
97% |
1991
23.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7029
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11166
86.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
5024
40.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22341
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37731
48.5 IPS |
|
|
Style Transfer (Q)
|
98% |
16316
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4479
165.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7346
271.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2821
104.5 IPS |
|
|
Text Classification (SP)
|
100% |
1210
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1265
1.69 KIPS |
|
|
Text Classification (Q)
|
97% |
781
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1632
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1823
31.4 IPS |
|
|
Machine Translation (Q)
|
70% |
696
13.1 IPS |
