LENOVO 82K2
Geekbench AI Score
2716
Single Precision Score
3683
Half Precision Score
2044
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | szabolcsmate |
| Upload Date | January 31 2025 06:06 PM |
| Views | 19 |
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% |
1086
202.1 IPS |
|
|
Image Classification (HP)
|
100% |
1438
267.5 IPS |
|
|
Image Classification (Q)
|
100% |
959
178.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1218
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1040
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10520
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19107
22.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
8747
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1199
95.1 IPS |
|
|
Object Detection (HP)
|
100% |
1417
112.4 IPS |
|
|
Object Detection (Q)
|
88% |
1070
85.7 IPS |
|
|
Face Detection (SP)
|
100% |
2411
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
3533
42.0 IPS |
|
|
Face Detection (Q)
|
97% |
2058
24.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5936
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8668
66.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
4633
37.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18121
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30062
38.6 IPS |
|
|
Style Transfer (Q)
|
98% |
14415
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3695
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5646
208.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2527
93.6 IPS |
|
|
Text Classification (SP)
|
100% |
959
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
577
772.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1429
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (Q)
|
70% |
681
12.8 IPS |
