LENOVO 82JQ
Geekbench AI Score
2072
Single Precision Score
584
Half Precision Score
2506
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Petenka315 |
| Upload Date | August 28 2024 01:15 PM |
| Views | 14 |
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 82JQ |
| Motherboard | LENOVO LNVNB161216 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1183
220.0 IPS |
|
|
Image Classification (HP)
|
100% |
121
22.4 IPS |
|
|
Image Classification (Q)
|
97% |
2506
467.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
1621
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3575
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2881
3.36 IPS |
|
|
Pose Estimation (Q)
|
87% |
8899
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1327
105.2 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
86% |
1319
106.0 IPS |
|
|
Face Detection (SP)
|
100% |
1941
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
236
2.81 IPS |
|
|
Face Detection (Q)
|
96% |
2933
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4079
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
751
5.79 IPS |
|
|
Depth Estimation (Q)
|
76% |
5198
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8928
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7112
9.14 IPS |
|
|
Style Transfer (Q)
|
87% |
12966
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1291
47.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2180
80.8 IPS |
|
|
Text Classification (SP)
|
100% |
1380
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
555
741.2 IPS |
|
|
Text Classification (Q)
|
97% |
348
466.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1481
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (Q)
|
60% |
1370
30.6 IPS |
