LENOVO 83A0
Geekbench AI Score
2436
Single Precision Score
3281
Half Precision Score
5352
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 10 2025 06:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1640
305.0 IPS |
|
|
Image Classification (HP)
|
100% |
2477
460.6 IPS |
|
|
Image Classification (Q)
|
99% |
3682
686.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3765
61.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4934
80.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5288
6.17 IPS |
|
|
Pose Estimation (HP)
|
99% |
3872
4.52 IPS |
|
|
Pose Estimation (Q)
|
97% |
16098
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
1316
104.4 IPS |
|
|
Object Detection (HP)
|
99% |
1792
142.1 IPS |
|
|
Object Detection (Q)
|
90% |
3129
250.2 IPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
4901
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
8804
104.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5225
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
7886
61.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
10739
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13272
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19789
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
35359
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2154
79.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3262
120.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6240
231.1 IPS |
|
|
Text Classification (SP)
|
71% |
777
1.12 KIPS |
|
|
Text Classification (HP)
|
71% |
779
1.13 KIPS |
|
|
Text Classification (Q)
|
92% |
869
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1151
19.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1163
20.0 IPS |
