LENOVO 83HN
Geekbench AI Score
4520
Single Precision Score
4589
Half Precision Score
11849
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | November 06 2024 04:10 AM |
| 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% |
3033
564.1 IPS |
|
|
Image Classification (HP)
|
100% |
2925
543.9 IPS |
|
|
Image Classification (Q)
|
100% |
7485
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7554
122.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6145
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6152
7.18 IPS |
|
|
Pose Estimation (Q)
|
98% |
24806
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2955
234.4 IPS |
|
|
Object Detection (HP)
|
100% |
2957
234.6 IPS |
|
|
Object Detection (Q)
|
88% |
8275
663.4 IPS |
|
|
Face Detection (SP)
|
100% |
6783
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
7868
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
20605
244.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7611
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7733
59.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
20400
158.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16912
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17039
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
63792
82.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3412
126.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3415
126.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12078
447.3 IPS |
|
|
Text Classification (SP)
|
100% |
2356
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2499
3.34 KIPS |
|
|
Text Classification (Q)
|
92% |
3380
4.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3757
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3769
64.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4294
74.0 IPS |
