LENOVO 83JC
Geekbench AI Score
1578
Single Precision Score
865
Half Precision Score
2594
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | wildercayden |
| Upload Date | January 12 2025 01:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7235HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83JC |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7235HS |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1275
237.1 IPS |
|
|
Image Classification (HP)
|
100% |
384
71.3 IPS |
|
|
Image Classification (Q)
|
96% |
2206
412.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
421
6.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
306
4.96 IPS |
|
|
Image Segmentation (Q)
|
97% |
1537
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2429
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2203
2.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
5548
6.56 IPS |
|
|
Object Detection (SP)
|
100% |
1240
98.4 IPS |
|
|
Object Detection (HP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (Q)
|
58% |
1558
170.2 IPS |
|
|
Face Detection (SP)
|
100% |
2014
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
877
10.4 IPS |
|
|
Face Detection (Q)
|
96% |
4117
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3236
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1392
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
5193
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6432
8.27 IPS |
|
|
Style Transfer (HP)
|
100% |
5450
7.01 IPS |
|
|
Style Transfer (Q)
|
87% |
7855
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1127
41.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1027
37.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1616
59.9 IPS |
|
|
Text Classification (SP)
|
100% |
1184
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
650
868.1 IPS |
|
|
Text Classification (Q)
|
97% |
1214
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.69 IPS |
|
|
Machine Translation (Q)
|
68% |
1434
27.7 IPS |
