LENOVO 82JQ
Geekbench AI Score
2186
Single Precision Score
1072
Half Precision Score
2614
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 07:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1203
223.7 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.7 IPS |
|
|
Image Classification (Q)
|
96% |
2577
481.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1336
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
1664
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3702
4.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2999
3.50 IPS |
|
|
Pose Estimation (Q)
|
87% |
9314
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (Q)
|
86% |
1419
114.1 IPS |
|
|
Face Detection (SP)
|
100% |
2089
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (Q)
|
96% |
3246
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4248
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1647
12.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
5142
41.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9491
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7505
9.65 IPS |
|
|
Style Transfer (Q)
|
87% |
13959
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1339
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2236
82.9 IPS |
|
|
Text Classification (SP)
|
100% |
1308
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
555
740.6 IPS |
|
|
Text Classification (Q)
|
97% |
349
467.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1584
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
503
8.67 IPS |
|
|
Machine Translation (Q)
|
60% |
1449
32.3 IPS |
