LENOVO 83JC
Geekbench AI Score
2600
Single Precision Score
1160
Half Precision Score
4178
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | gdaysean |
| Upload Date | August 15 2025 11:50 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7435HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83JC |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2156
401.0 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.3 IPS |
|
|
Image Classification (Q)
|
96% |
3346
624.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.28 IPS |
|
|
Image Segmentation (Q)
|
97% |
4024
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3865
4.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3387
3.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
8217
9.71 IPS |
|
|
Object Detection (SP)
|
100% |
1810
143.6 IPS |
|
|
Object Detection (HP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (Q)
|
58% |
2591
283.1 IPS |
|
|
Face Detection (SP)
|
100% |
4056
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
1289
15.3 IPS |
|
|
Face Detection (Q)
|
96% |
7301
87.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5564
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1813
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
8464
67.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10058
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8908
11.5 IPS |
|
|
Style Transfer (Q)
|
87% |
13972
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1672
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1343
49.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3037
112.5 IPS |
|
|
Text Classification (SP)
|
100% |
1398
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
720
960.6 IPS |
|
|
Text Classification (Q)
|
97% |
1125
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1517
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
68% |
1917
37.0 IPS |
