LENOVO 82K2
Geekbench AI Score
3253
Single Precision Score
3220
Half Precision Score
5628
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TofuBoi |
| Upload Date | October 31 2024 09:36 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82K2 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1936
360.1 IPS |
|
|
Image Classification (HP)
|
100% |
1862
346.3 IPS |
|
|
Image Classification (Q)
|
100% |
3074
571.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1791
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3054
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4389
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
4375
5.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
9889
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
2142
169.9 IPS |
|
|
Object Detection (HP)
|
100% |
2024
160.5 IPS |
|
|
Object Detection (Q)
|
87% |
3927
315.0 IPS |
|
|
Face Detection (SP)
|
100% |
3423
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
3486
41.4 IPS |
|
|
Face Detection (Q)
|
97% |
10715
127.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5790
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5867
45.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
10327
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12693
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12850
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28201
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2681
99.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2663
98.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5903
218.7 IPS |
|
|
Text Classification (SP)
|
100% |
1821
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1834
2.45 KIPS |
|
|
Text Classification (Q)
|
91% |
1446
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3320
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3172
54.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3284
56.6 IPS |
