LENOVO 82JU
Geekbench AI Score
2866
Single Precision Score
743
Half Precision Score
3042
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | porina |
| Upload Date | August 16 2024 10:19 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82JU |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Balance Mode |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1776
330.2 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.4 IPS |
|
|
Image Classification (Q)
|
97% |
3222
601.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
226
3.67 IPS |
|
|
Image Segmentation (Q)
|
97% |
1976
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5764
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
4300
5.02 IPS |
|
|
Pose Estimation (Q)
|
87% |
11258
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1959
155.4 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.6 IPS |
|
|
Object Detection (Q)
|
86% |
1750
140.7 IPS |
|
|
Face Detection (SP)
|
100% |
2327
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
290
3.44 IPS |
|
|
Face Detection (Q)
|
96% |
3641
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6302
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
916
7.05 IPS |
|
|
Depth Estimation (Q)
|
76% |
5984
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12597
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10813
13.9 IPS |
|
|
Style Transfer (Q)
|
87% |
16058
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2257
83.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1857
68.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2582
95.7 IPS |
|
|
Text Classification (SP)
|
100% |
1600
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
633
845.3 IPS |
|
|
Text Classification (Q)
|
97% |
382
512.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1856
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
565
9.73 IPS |
|
|
Machine Translation (Q)
|
60% |
1570
35.0 IPS |
