LENOVO 83HN
Geekbench AI Score
2979
Single Precision Score
1600
Half Precision Score
5077
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | October 26 2024 04:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83HN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 w/ Radeon 880M |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1633
303.6 IPS |
|
|
Image Classification (HP)
|
100% |
591
110.0 IPS |
|
|
Image Classification (Q)
|
99% |
4562
850.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
825
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
880
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3058
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7010
8.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
5190
6.06 IPS |
|
|
Pose Estimation (Q)
|
95% |
26201
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
2041
161.9 IPS |
|
|
Object Detection (HP)
|
100% |
747
59.3 IPS |
|
|
Object Detection (Q)
|
88% |
2193
175.8 IPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
1481
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
6093
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6878
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2638
20.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
5948
47.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15771
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14269
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
31051
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2456
90.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2234
82.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3686
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
1563
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
650
867.5 IPS |
|
|
Text Classification (Q)
|
97% |
1339
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2168
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2560
57.1 IPS |
