LENOVO 83A0
Geekbench AI Score
2263
Single Precision Score
1122
Half Precision Score
4418
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 12:02 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% |
1791
333.1 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.5 IPS |
|
|
Image Classification (Q)
|
99% |
3910
729.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1036
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2585
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3445
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2553
2.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
11156
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1621
128.6 IPS |
|
|
Object Detection (HP)
|
100% |
526
41.7 IPS |
|
|
Object Detection (Q)
|
86% |
3918
314.9 IPS |
|
|
Face Detection (SP)
|
100% |
3154
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
1166
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
6224
74.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4484
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1662
12.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
9399
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8271
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6875
8.84 IPS |
|
|
Style Transfer (Q)
|
98% |
12471
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1455
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2979
110.3 IPS |
|
|
Text Classification (SP)
|
100% |
1275
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
667
889.7 IPS |
|
|
Text Classification (Q)
|
97% |
1544
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1410
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
579
9.98 IPS |
|
|
Machine Translation (Q)
|
65% |
1913
38.4 IPS |
