LENOVO 82K2
Geekbench AI Score
1822
Single Precision Score
510
Half Precision Score
2823
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | szabolcsmate |
| Upload Date | January 31 2025 05:44 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H |
| 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% |
1155
214.7 IPS |
|
|
Image Classification (HP)
|
100% |
114
21.2 IPS |
|
|
Image Classification (Q)
|
94% |
2807
524.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
996
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
1598
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3153
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2638
3.08 IPS |
|
|
Pose Estimation (Q)
|
86% |
6379
7.54 IPS |
|
|
Object Detection (SP)
|
100% |
1260
99.9 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
58% |
1896
207.2 IPS |
|
|
Face Detection (SP)
|
100% |
1320
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
224
2.66 IPS |
|
|
Face Detection (Q)
|
96% |
5331
63.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3738
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
675
5.20 IPS |
|
|
Depth Estimation (Q)
|
78% |
5998
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8104
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6995
8.99 IPS |
|
|
Style Transfer (Q)
|
87% |
6895
8.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1386
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1179
43.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1713
63.5 IPS |
|
|
Text Classification (SP)
|
100% |
1313
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
374
499.5 IPS |
|
|
Text Classification (Q)
|
97% |
1040
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1218
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (Q)
|
68% |
1509
29.2 IPS |
