LENOVO 83HN
Geekbench AI Score
4510
Single Precision Score
4531
Half Precision Score
11619
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | October 26 2024 05:58 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% |
2873
534.4 IPS |
|
|
Image Classification (HP)
|
100% |
2870
533.7 IPS |
|
|
Image Classification (Q)
|
100% |
7783
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2542
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7278
118.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6111
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
6081
7.10 IPS |
|
|
Pose Estimation (Q)
|
98% |
24589
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2824
224.0 IPS |
|
|
Object Detection (HP)
|
100% |
2912
230.9 IPS |
|
|
Object Detection (Q)
|
88% |
7498
601.0 IPS |
|
|
Face Detection (SP)
|
100% |
7212
85.7 IPS |
|
|
Face Detection (HP)
|
100% |
7781
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
22545
267.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7963
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7592
58.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
20417
158.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17035
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17068
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
60926
78.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3565
131.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3645
134.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11511
426.3 IPS |
|
|
Text Classification (SP)
|
100% |
2386
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2209
2.95 KIPS |
|
|
Text Classification (Q)
|
92% |
3289
4.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3498
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3485
60.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4046
69.7 IPS |
