LENOVO 82K2
Geekbench AI Score
2736
Single Precision Score
2761
Half Precision Score
4783
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | szabolcsmate |
| Upload Date | January 31 2025 05:48 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | LENOVO 82K2 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.28 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 13.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1789
332.8 IPS |
|
|
Image Classification (HP)
|
100% |
1790
332.8 IPS |
|
|
Image Classification (Q)
|
100% |
3164
588.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1820
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2968
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3276
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3323
3.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
7368
8.64 IPS |
|
|
Object Detection (SP)
|
100% |
1704
135.2 IPS |
|
|
Object Detection (HP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (Q)
|
87% |
3296
264.3 IPS |
|
|
Face Detection (SP)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
3005
35.7 IPS |
|
|
Face Detection (Q)
|
97% |
7254
86.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4488
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4545
35.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
8477
66.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9666
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9756
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21396
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2021
74.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2062
76.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4565
169.1 IPS |
|
|
Text Classification (SP)
|
100% |
1761
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1778
2.37 KIPS |
|
|
Text Classification (Q)
|
91% |
1638
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2770
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2798
48.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2793
48.1 IPS |
