LENOVO 83HN
Geekbench AI Score
2475
Single Precision Score
2420
Half Precision Score
6325
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 06:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 |
| 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% |
1151
214.1 IPS |
|
|
Image Classification (HP)
|
100% |
1244
231.4 IPS |
|
|
Image Classification (Q)
|
100% |
3210
597.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1323
21.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4060
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4263
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
4092
4.77 IPS |
|
|
Pose Estimation (Q)
|
98% |
15896
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
1244
98.7 IPS |
|
|
Object Detection (HP)
|
100% |
1184
93.9 IPS |
|
|
Object Detection (Q)
|
88% |
3477
278.7 IPS |
|
|
Face Detection (SP)
|
100% |
3971
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
4062
48.3 IPS |
|
|
Face Detection (Q)
|
100% |
9393
111.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3942
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4071
31.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
9655
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10331
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10247
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
41146
53.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2107
77.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1904
70.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7582
280.8 IPS |
|
|
Text Classification (SP)
|
100% |
1440
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1315
1.76 KIPS |
|
|
Text Classification (Q)
|
92% |
1969
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1913
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2037
35.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2555
44.0 IPS |
