LENOVO 83JC
Geekbench AI Score
2718
Single Precision Score
1345
Half Precision Score
3023
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | abufrejoval |
| Upload Date | September 23 2024 07:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7435HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 83JC |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7435HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1682
312.8 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.5 IPS |
|
|
Image Classification (Q)
|
96% |
3141
586.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (Q)
|
97% |
2009
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5533
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
4630
5.40 IPS |
|
|
Pose Estimation (Q)
|
87% |
11440
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
2223
176.3 IPS |
|
|
Object Detection (HP)
|
100% |
683
54.2 IPS |
|
|
Object Detection (Q)
|
86% |
1853
149.0 IPS |
|
|
Face Detection (SP)
|
100% |
2310
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
1326
15.8 IPS |
|
|
Face Detection (Q)
|
96% |
3370
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6278
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2204
17.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
5502
44.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13385
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11478
14.8 IPS |
|
|
Style Transfer (Q)
|
87% |
15516
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2299
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1983
73.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2587
95.9 IPS |
|
|
Text Classification (SP)
|
100% |
1937
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
726
968.9 IPS |
|
|
Text Classification (Q)
|
97% |
404
541.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1936
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1587
35.4 IPS |
