LENOVO 83A0
Geekbench AI Score
2212
Single Precision Score
1043
Half Precision Score
4249
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 01:05 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% |
1682
312.9 IPS |
|
|
Image Classification (HP)
|
100% |
439
81.7 IPS |
|
|
Image Classification (Q)
|
99% |
3954
737.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2488
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3409
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2319
2.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
12271
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1685
133.6 IPS |
|
|
Object Detection (HP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (Q)
|
86% |
3929
315.8 IPS |
|
|
Face Detection (SP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
1097
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
6393
76.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4689
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1647
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6036
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7141
9.18 IPS |
|
|
Style Transfer (HP)
|
100% |
4888
6.28 IPS |
|
|
Style Transfer (Q)
|
98% |
11006
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1488
55.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1313
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2876
106.5 IPS |
|
|
Text Classification (SP)
|
100% |
1356
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
673
897.8 IPS |
|
|
Text Classification (Q)
|
97% |
1553
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (Q)
|
65% |
2136
42.9 IPS |
