LENOVO 82EY
Geekbench AI Score
1736
Single Precision Score
529
Half Precision Score
1722
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | dvmi1 |
| Upload Date | August 16 2024 07:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 4600H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82EY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1087
202.2 IPS |
|
|
Image Classification (HP)
|
100% |
106
19.6 IPS |
|
|
Image Classification (Q)
|
97% |
1302
242.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
483
7.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
142
2.30 IPS |
|
|
Image Segmentation (Q)
|
97% |
1176
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3665
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2939
3.43 IPS |
|
|
Pose Estimation (Q)
|
87% |
4370
5.16 IPS |
|
|
Object Detection (SP)
|
100% |
1152
91.4 IPS |
|
|
Object Detection (HP)
|
100% |
149
11.9 IPS |
|
|
Object Detection (Q)
|
86% |
968
77.8 IPS |
|
|
Face Detection (SP)
|
100% |
1632
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
226
2.68 IPS |
|
|
Face Detection (Q)
|
96% |
2307
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4017
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
679
5.24 IPS |
|
|
Depth Estimation (Q)
|
76% |
3407
27.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8914
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7054
9.07 IPS |
|
|
Style Transfer (Q)
|
87% |
8220
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1527
56.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1234
45.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1507
55.9 IPS |
|
|
Text Classification (SP)
|
100% |
1017
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
426
568.4 IPS |
|
|
Text Classification (Q)
|
97% |
330
442.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
461
7.93 IPS |
|
|
Machine Translation (Q)
|
60% |
1102
24.6 IPS |
