LENOVO 83A0
Geekbench AI Score
2216
Single Precision Score
1046
Half Precision Score
4494
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 01:08 AM |
| Views | 2 |
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% |
1768
328.8 IPS |
|
|
Image Classification (HP)
|
100% |
431
80.2 IPS |
|
|
Image Classification (Q)
|
99% |
3952
737.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
958
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2532
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2643
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2026
2.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
11997
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (HP)
|
100% |
491
39.0 IPS |
|
|
Object Detection (Q)
|
86% |
3935
316.2 IPS |
|
|
Face Detection (SP)
|
100% |
3329
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
1124
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
6263
74.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4731
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1486
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9531
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8104
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5889
7.57 IPS |
|
|
Style Transfer (Q)
|
98% |
12253
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1617
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2917
108.0 IPS |
|
|
Text Classification (SP)
|
100% |
1319
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
671
895.1 IPS |
|
|
Text Classification (Q)
|
97% |
1524
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
524
9.02 IPS |
|
|
Machine Translation (Q)
|
65% |
2189
44.0 IPS |
