LENOVO 83HN
Geekbench AI Score
4373
Single Precision Score
4491
Half Precision Score
11647
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | October 26 2024 06:00 PM |
| Views | 6 |
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% |
2902
539.7 IPS |
|
|
Image Classification (HP)
|
100% |
2888
537.0 IPS |
|
|
Image Classification (Q)
|
100% |
7575
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1657
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2280
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7376
119.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6088
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
6161
7.19 IPS |
|
|
Pose Estimation (Q)
|
98% |
24209
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2823
223.9 IPS |
|
|
Object Detection (HP)
|
100% |
2812
223.1 IPS |
|
|
Object Detection (Q)
|
88% |
7587
608.1 IPS |
|
|
Face Detection (SP)
|
100% |
7720
91.7 IPS |
|
|
Face Detection (HP)
|
100% |
7463
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
22498
267.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7961
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7985
61.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
20559
160.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17113
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17133
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
62256
80.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3480
128.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3492
128.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11504
426.0 IPS |
|
|
Text Classification (SP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (Q)
|
92% |
3352
4.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3603
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3492
60.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4033
69.5 IPS |
