LENOVO 83HN
Geekbench AI Score
5044
Single Precision Score
4988
Half Precision Score
12612
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | November 06 2024 05:26 AM |
| Views | 2 |
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% |
3197
594.5 IPS |
|
|
Image Classification (HP)
|
100% |
2992
556.4 IPS |
|
|
Image Classification (Q)
|
100% |
8088
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2608
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2729
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7823
126.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7122
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
7138
8.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
27543
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
3144
249.4 IPS |
|
|
Object Detection (HP)
|
100% |
3099
245.8 IPS |
|
|
Object Detection (Q)
|
88% |
8622
691.2 IPS |
|
|
Face Detection (SP)
|
100% |
8131
96.6 IPS |
|
|
Face Detection (HP)
|
100% |
7944
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
23989
285.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8500
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8480
65.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
21142
164.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19021
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19464
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
68263
88.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3814
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3821
141.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12813
474.5 IPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2563
3.42 KIPS |
|
|
Text Classification (Q)
|
92% |
3532
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4128
71.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4114
70.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4326
74.5 IPS |
