LENOVO 83HN
Geekbench AI Score
1357
Single Precision Score
1336
Half Precision Score
1373
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | April 13 2025 06:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Bazzite 41 (FROM Fedora Kinoite) |
| Model | LENOVO 83HN |
| Motherboard | LENOVO LNVNB161216 |
| 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 | 5.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 27.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
673
125.2 IPS |
|
|
Image Classification (HP)
|
100% |
637
118.4 IPS |
|
|
Image Classification (Q)
|
99% |
919
171.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1058
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2032
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2041
2.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
2778
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
822
65.2 IPS |
|
|
Object Detection (HP)
|
100% |
781
61.9 IPS |
|
|
Object Detection (Q)
|
85% |
1023
82.4 IPS |
|
|
Face Detection (SP)
|
100% |
1561
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
1570
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
2020
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1514
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1499
11.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1799
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3265
4.20 IPS |
|
|
Style Transfer (HP)
|
100% |
3327
4.28 IPS |
|
|
Style Transfer (Q)
|
98% |
5340
6.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
797
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
789
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1377
51.0 IPS |
|
|
Text Classification (SP)
|
100% |
883
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
857
1.14 KIPS |
|
|
Text Classification (Q)
|
92% |
575
772.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2969
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2926
50.4 IPS |
|
|
Machine Translation (Q)
|
58% |
563
13.2 IPS |
