LENOVO 83HN
Geekbench AI Score
2055
Single Precision Score
1109
Half Precision Score
3652
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| 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% |
680
126.5 IPS |
|
|
Image Classification (HP)
|
100% |
266
49.4 IPS |
|
|
Image Classification (Q)
|
99% |
1922
358.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
439
7.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
1617
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3964
4.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3405
3.97 IPS |
|
|
Pose Estimation (Q)
|
95% |
16001
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
777
61.6 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (Q)
|
88% |
951
76.2 IPS |
|
|
Face Detection (SP)
|
100% |
2880
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
1329
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
5023
59.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5918
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2172
16.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
5435
43.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13145
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11857
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26822
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1963
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3406
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
1222
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
606
808.6 IPS |
|
|
Text Classification (Q)
|
97% |
1426
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2007
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2510
56.0 IPS |
