LENOVO 83HN
Geekbench AI Score
5115
Single Precision Score
5032
Half Precision Score
12576
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | October 26 2024 04:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3221
599.0 IPS |
|
|
Image Classification (HP)
|
100% |
3099
576.3 IPS |
|
|
Image Classification (Q)
|
100% |
7983
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3399
55.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3065
49.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7517
121.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6874
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
6827
7.97 IPS |
|
|
Pose Estimation (Q)
|
98% |
26646
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
3087
244.9 IPS |
|
|
Object Detection (HP)
|
100% |
3065
243.1 IPS |
|
|
Object Detection (Q)
|
88% |
8812
706.4 IPS |
|
|
Face Detection (SP)
|
100% |
8418
100.0 IPS |
|
|
Face Detection (HP)
|
100% |
8434
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
23043
273.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8733
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8647
66.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
22146
172.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18416
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18468
23.7 IPS |
|
|
Style Transfer (Q)
|
98% |
68798
88.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3929
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3907
144.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12804
474.2 IPS |
|
|
Text Classification (SP)
|
100% |
2755
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2772
3.70 KIPS |
|
|
Text Classification (Q)
|
92% |
3554
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3605
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3593
61.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4396
75.7 IPS |
