LENOVO 83JC
Geekbench AI Score
3450
Single Precision Score
1493
Half Precision Score
4945
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| Upload Date | September 14 2025 01:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7435HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | LENOVO 83JC |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | LENOVOTAViN |
| 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% |
3164
588.4 IPS |
|
|
Image Classification (HP)
|
100% |
579
107.7 IPS |
|
|
Image Classification (Q)
|
96% |
5039
941.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
700
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
464
7.52 IPS |
|
|
Image Segmentation (Q)
|
97% |
2772
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6244
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
5069
5.91 IPS |
|
|
Pose Estimation (Q)
|
86% |
12220
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
2921
231.7 IPS |
|
|
Object Detection (HP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (Q)
|
58% |
3370
368.3 IPS |
|
|
Face Detection (SP)
|
100% |
4444
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
1514
18.0 IPS |
|
|
Face Detection (Q)
|
96% |
7947
94.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8565
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2306
17.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10836
86.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15100
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12408
16.0 IPS |
|
|
Style Transfer (Q)
|
87% |
16525
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2572
95.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2207
81.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2569
95.2 IPS |
|
|
Text Classification (SP)
|
100% |
1700
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1606
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2356
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (Q)
|
68% |
2591
50.1 IPS |
