LENOVO 83A0
Geekbench AI Score
2169
Single Precision Score
1064
Half Precision Score
4358
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 01:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13420H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83A0 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1470
273.3 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.5 IPS |
|
|
Image Classification (Q)
|
99% |
3264
608.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
2172
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3265
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2381
2.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
11907
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1674
132.8 IPS |
|
|
Object Detection (HP)
|
100% |
526
41.7 IPS |
|
|
Object Detection (Q)
|
86% |
3969
319.0 IPS |
|
|
Face Detection (SP)
|
100% |
3173
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
6229
74.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4591
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1648
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9440
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8237
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6751
8.68 IPS |
|
|
Style Transfer (Q)
|
98% |
12623
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1709
63.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1417
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3038
112.5 IPS |
|
|
Text Classification (SP)
|
100% |
1284
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
662
884.1 IPS |
|
|
Text Classification (Q)
|
97% |
1564
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1406
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
571
9.83 IPS |
|
|
Machine Translation (Q)
|
65% |
2092
42.0 IPS |
