LENOVO 83DA
Geekbench AI Score
4376
Single Precision Score
6717
Half Precision Score
3206
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | exalted |
| Upload Date | April 10 2025 01:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DA |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2195
408.1 IPS |
|
|
Image Classification (HP)
|
100% |
3645
677.9 IPS |
|
|
Image Classification (Q)
|
100% |
1716
319.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2918
47.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6436
104.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2397
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12800
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17211
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11093
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
2328
184.6 IPS |
|
|
Object Detection (HP)
|
99% |
4390
349.2 IPS |
|
|
Object Detection (Q)
|
86% |
1936
155.7 IPS |
|
|
Face Detection (SP)
|
100% |
4410
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
8458
100.5 IPS |
|
|
Face Detection (Q)
|
97% |
3509
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8775
67.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
17516
135.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
6821
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
39677
51.0 IPS |
|
|
Style Transfer (HP)
|
100% |
56135
72.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29977
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6257
231.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10094
372.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3631
134.5 IPS |
|
|
Text Classification (SP)
|
86% |
742
1.00 KIPS |
|
|
Text Classification (HP)
|
99% |
572
762.9 IPS |
|
|
Text Classification (Q)
|
84% |
563
764.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2198
37.9 IPS |
|
|
Machine Translation (Q)
|
70% |
886
16.6 IPS |
