LENOVO 83A0
Geekbench AI Score
2243
Single Precision Score
1082
Half Precision Score
4344
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 10:37 AM |
| Views | 6 |
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% |
1641
305.1 IPS |
|
|
Image Classification (HP)
|
100% |
400
74.4 IPS |
|
|
Image Classification (Q)
|
99% |
3467
646.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
935
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
612
9.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
2171
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3387
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2570
3.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
11358
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1626
129.0 IPS |
|
|
Object Detection (HP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (Q)
|
86% |
3809
306.1 IPS |
|
|
Face Detection (SP)
|
100% |
3258
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
1119
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
6247
74.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4656
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1548
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
9415
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8343
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6907
8.88 IPS |
|
|
Style Transfer (Q)
|
98% |
12429
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1648
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1411
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3060
113.3 IPS |
|
|
Text Classification (SP)
|
100% |
1310
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
660
880.8 IPS |
|
|
Text Classification (Q)
|
97% |
1513
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1400
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
580
9.99 IPS |
|
|
Machine Translation (Q)
|
65% |
2173
43.7 IPS |
