LENOVO 82N6
Geekbench AI Score
3976
Single Precision Score
3958
Half Precision Score
6728
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 07:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900HX with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82N6 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2573
478.5 IPS |
|
|
Image Classification (HP)
|
100% |
2309
429.4 IPS |
|
|
Image Classification (Q)
|
100% |
4689
872.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2685
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2848
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5166
84.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5189
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
5228
6.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
11501
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
2375
188.4 IPS |
|
|
Object Detection (HP)
|
100% |
2452
194.5 IPS |
|
|
Object Detection (Q)
|
87% |
4781
383.5 IPS |
|
|
Face Detection (SP)
|
100% |
4273
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
4202
49.9 IPS |
|
|
Face Detection (Q)
|
97% |
13402
159.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6445
49.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6365
49.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
11968
94.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14783
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14908
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
34421
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3155
116.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3047
112.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6886
255.1 IPS |
|
|
Text Classification (SP)
|
100% |
2479
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2591
3.46 KIPS |
|
|
Text Classification (Q)
|
91% |
1058
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3642
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3559
61.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3548
61.1 IPS |
