LENOVO 83JC
Geekbench AI Score
2105
Single Precision Score
1000
Half Precision Score
3345
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | thatmarcel |
| Upload Date | January 11 2025 12:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7435HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1558
289.7 IPS |
|
|
Image Classification (HP)
|
100% |
403
75.0 IPS |
|
|
Image Classification (Q)
|
96% |
3470
647.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
598
9.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (Q)
|
97% |
1704
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3414
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3046
3.55 IPS |
|
|
Pose Estimation (Q)
|
86% |
7543
8.92 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
100% |
481
38.1 IPS |
|
|
Object Detection (Q)
|
58% |
2136
233.4 IPS |
|
|
Face Detection (SP)
|
100% |
3576
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
1073
12.7 IPS |
|
|
Face Detection (Q)
|
96% |
4817
57.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4710
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1483
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7063
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8966
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7503
9.65 IPS |
|
|
Style Transfer (Q)
|
87% |
12841
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1354
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1891
70.1 IPS |
|
|
Text Classification (SP)
|
100% |
925
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
538
718.2 IPS |
|
|
Text Classification (Q)
|
97% |
1241
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1515
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
520
8.95 IPS |
|
|
Machine Translation (Q)
|
68% |
1799
34.8 IPS |
