LENOVO 83DA
Geekbench AI Score
4485
Single Precision Score
6967
Half Precision Score
3270
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | exalted |
| Upload Date | November 02 2025 06:53 AM |
| 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 | High performance |
| 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% |
2188
406.9 IPS |
|
|
Image Classification (HP)
|
100% |
3867
719.2 IPS |
|
|
Image Classification (Q)
|
100% |
1825
339.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3148
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6817
110.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2572
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13070
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17254
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11533
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
2152
170.7 IPS |
|
|
Object Detection (HP)
|
99% |
4651
370.0 IPS |
|
|
Object Detection (Q)
|
86% |
1900
152.7 IPS |
|
|
Face Detection (SP)
|
100% |
4654
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
8614
102.3 IPS |
|
|
Face Detection (Q)
|
97% |
3536
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8923
68.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
16522
127.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
7034
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
39264
50.5 IPS |
|
|
Style Transfer (HP)
|
100% |
57142
73.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29613
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6193
228.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10017
369.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3481
128.9 IPS |
|
|
Text Classification (SP)
|
86% |
813
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
710
947.9 IPS |
|
|
Text Classification (Q)
|
84% |
574
778.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2074
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2205
38.0 IPS |
|
|
Machine Translation (Q)
|
70% |
925
17.4 IPS |
