LENOVO 83A0
Geekbench AI Score
2265
Single Precision Score
1083
Half Precision Score
4436
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 01:26 AM |
| Views | 5 |
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% |
1778
330.7 IPS |
|
|
Image Classification (HP)
|
100% |
447
83.2 IPS |
|
|
Image Classification (Q)
|
99% |
3986
743.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1049
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2404
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3407
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2490
2.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
11423
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
100% |
528
41.9 IPS |
|
|
Object Detection (Q)
|
86% |
3875
311.5 IPS |
|
|
Face Detection (SP)
|
100% |
3132
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
6021
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4605
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1612
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9495
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7982
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6337
8.15 IPS |
|
|
Style Transfer (Q)
|
98% |
12070
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1672
61.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1393
51.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3048
112.8 IPS |
|
|
Text Classification (SP)
|
100% |
1316
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
633
844.9 IPS |
|
|
Text Classification (Q)
|
97% |
1497
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1390
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.19 IPS |
|
|
Machine Translation (Q)
|
65% |
2211
44.4 IPS |
