MOTOROLA 83NY
Geekbench AI Score
1997
Single Precision Score
1920
Half Precision Score
4717
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 05:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | MOTOROLA 83NY |
| Motherboard | MOTOROLA LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1100
204.6 IPS |
|
|
Image Classification (HP)
|
100% |
1098
204.2 IPS |
|
|
Image Classification (Q)
|
100% |
4808
894.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1107
18.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3360
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3462
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
3071
3.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
12632
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1090
86.5 IPS |
|
|
Object Detection (HP)
|
100% |
1183
93.8 IPS |
|
|
Object Detection (Q)
|
88% |
2812
225.4 IPS |
|
|
Face Detection (SP)
|
100% |
3450
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
3727
44.3 IPS |
|
|
Face Detection (Q)
|
100% |
6994
83.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3449
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3450
26.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
8292
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9762
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6605
8.49 IPS |
|
|
Style Transfer (Q)
|
98% |
24793
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1288
47.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1458
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4694
173.8 IPS |
|
|
Text Classification (SP)
|
100% |
1116
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
729
972.8 IPS |
|
|
Text Classification (Q)
|
92% |
1895
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1709
29.4 IPS |
|
|
Machine Translation (Q)
|
100% |
744
12.8 IPS |
