LENOVO 83DA
Geekbench AI Score
7182
Single Precision Score
11817
Half Precision Score
17919
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | exalted |
| Upload Date | November 02 2025 06:48 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5931
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
8381
1.56 KIPS |
|
|
Image Classification (Q)
|
100% |
10105
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4089
66.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11796
191.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17302
280.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19705
23.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
17767
20.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
55022
64.4 IPS |
|
|
Object Detection (SP)
|
100% |
5297
420.2 IPS |
|
|
Object Detection (HP)
|
100% |
8802
698.1 IPS |
|
|
Object Detection (Q)
|
88% |
12193
977.1 IPS |
|
|
Face Detection (SP)
|
100% |
5622
66.8 IPS |
|
|
Face Detection (HP)
|
100% |
16394
194.8 IPS |
|
|
Face Detection (Q)
|
100% |
24877
295.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16070
123.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
31710
245.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
37712
293.1 IPS |
|
|
Style Transfer (SP)
|
100% |
40260
51.8 IPS |
|
|
Style Transfer (HP)
|
100% |
51166
65.8 IPS |
|
|
Style Transfer (Q)
|
98% |
156020
201.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9119
336.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15161
559.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21551
798.1 IPS |
|
|
Text Classification (SP)
|
71% |
1634
2.36 KIPS |
|
|
Text Classification (HP)
|
71% |
2509
3.63 KIPS |
|
|
Text Classification (Q)
|
92% |
2621
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2665
45.9 IPS |
|
|
Machine Translation (HP)
|
96% |
3397
58.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3520
60.6 IPS |
