LENOVO 83A0
Geekbench AI Score
2238
Single Precision Score
1080
Half Precision Score
4418
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 01:18 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% |
1793
333.4 IPS |
|
|
Image Classification (HP)
|
100% |
436
81.1 IPS |
|
|
Image Classification (Q)
|
99% |
4055
756.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
716
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2548
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3372
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2479
2.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
11015
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.9 IPS |
|
|
Object Detection (Q)
|
86% |
3780
303.8 IPS |
|
|
Face Detection (SP)
|
100% |
3186
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
1134
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
6310
75.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4455
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1633
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
9336
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8109
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6244
8.03 IPS |
|
|
Style Transfer (Q)
|
98% |
12231
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1423
52.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2901
107.4 IPS |
|
|
Text Classification (SP)
|
100% |
1283
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
635
847.0 IPS |
|
|
Text Classification (Q)
|
97% |
1497
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1351
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
522
8.99 IPS |
|
|
Machine Translation (Q)
|
65% |
2105
42.3 IPS |
