LENOVO 82K2
Geekbench AI Score
2721
Single Precision Score
3659
Half Precision Score
2054
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | szabolcsmate |
| Upload Date | January 31 2025 05:59 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 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% |
1071
199.1 IPS |
|
|
Image Classification (HP)
|
100% |
1355
251.9 IPS |
|
|
Image Classification (Q)
|
100% |
958
178.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1220
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1484
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1044
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10497
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19099
22.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
8730
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1202
95.4 IPS |
|
|
Object Detection (HP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (Q)
|
88% |
1076
86.3 IPS |
|
|
Face Detection (SP)
|
100% |
2456
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
3541
42.1 IPS |
|
|
Face Detection (Q)
|
97% |
2084
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5887
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8537
65.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
4617
36.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18080
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29915
38.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14408
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3604
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5726
211.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2539
94.0 IPS |
|
|
Text Classification (SP)
|
100% |
958
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1013
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
590
790.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1499
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1505
25.9 IPS |
|
|
Machine Translation (Q)
|
70% |
688
12.9 IPS |
