LENOVO 83HN
Geekbench AI Score
3045
Single Precision Score
1595
Half Precision Score
5378
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | November 03 2024 04:26 AM |
| Views | 16 |
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% |
1664
309.4 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.6 IPS |
|
|
Image Classification (Q)
|
99% |
4686
874.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
949
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
872
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3116
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6919
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
5545
6.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
26269
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
2019
160.1 IPS |
|
|
Object Detection (HP)
|
100% |
718
57.0 IPS |
|
|
Object Detection (Q)
|
88% |
2371
190.0 IPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
1555
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
6033
71.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6804
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2627
20.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
6321
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15613
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14318
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30733
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2458
90.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2237
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4181
154.8 IPS |
|
|
Text Classification (SP)
|
100% |
1584
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
655
874.6 IPS |
|
|
Text Classification (Q)
|
97% |
1604
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2376
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2836
63.2 IPS |
