LENOVO 82K2
Geekbench AI Score
3144
Single Precision Score
3096
Half Precision Score
5450
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | szabolcsmate |
| Upload Date | January 31 2025 06:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
2151
399.9 IPS |
|
|
Image Classification (HP)
|
100% |
2065
383.9 IPS |
|
|
Image Classification (Q)
|
100% |
3566
663.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3644
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3959
4.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3928
4.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
8934
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1941
154.0 IPS |
|
|
Object Detection (HP)
|
100% |
1867
148.1 IPS |
|
|
Object Detection (Q)
|
87% |
3717
298.1 IPS |
|
|
Face Detection (SP)
|
100% |
2964
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
2966
35.2 IPS |
|
|
Face Detection (Q)
|
97% |
10075
120.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5340
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4925
37.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
9469
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11100
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11374
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24694
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2348
86.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2266
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5426
201.0 IPS |
|
|
Text Classification (SP)
|
100% |
2033
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (Q)
|
91% |
1349
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3192
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3043
52.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3110
53.6 IPS |
