LENOVO 82RG
Geekbench AI Score
4186
Single Precision Score
4213
Half Precision Score
7198
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alan156 |
| Upload Date | October 13 2024 03:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 6800H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | LENOVO 82RG |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 6800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3324
618.2 IPS |
|
|
Image Classification (HP)
|
100% |
3317
616.9 IPS |
|
|
Image Classification (Q)
|
100% |
5041
937.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3766
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6683
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
6733
7.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
13770
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
3018
239.4 IPS |
|
|
Object Detection (HP)
|
100% |
3016
239.2 IPS |
|
|
Object Detection (Q)
|
87% |
5154
413.4 IPS |
|
|
Face Detection (SP)
|
100% |
5918
70.3 IPS |
|
|
Face Detection (HP)
|
100% |
5972
71.0 IPS |
|
|
Face Detection (Q)
|
97% |
13444
160.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8279
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8249
63.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
13287
104.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18919
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19180
24.7 IPS |
|
|
Style Transfer (Q)
|
98% |
39174
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3908
144.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3792
140.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7988
295.9 IPS |
|
|
Text Classification (SP)
|
100% |
1505
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1580
2.11 KIPS |
|
|
Text Classification (Q)
|
91% |
1201
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4089
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4163
71.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4131
71.2 IPS |
