MOTOROLA 83NY
Geekbench AI Score
2399
Single Precision Score
7176
Half Precision Score
10666
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 24 2025 04:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1376
255.9 IPS |
|
|
Image Classification (HP)
|
100% |
3382
628.9 IPS |
|
|
Image Classification (Q)
|
100% |
5542
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2261
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2629
42.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3620
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4264
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
32067
37.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
67098
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.7 IPS |
|
|
Object Detection (HP)
|
100% |
4703
373.0 IPS |
|
|
Object Detection (Q)
|
87% |
6398
513.5 IPS |
|
|
Face Detection (SP)
|
100% |
4273
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
12385
147.2 IPS |
|
|
Face Detection (Q)
|
100% |
22383
266.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4299
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17984
138.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
27828
216.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8272
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
43323
55.7 IPS |
|
|
Style Transfer (Q)
|
98% |
70980
91.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1495
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11257
415.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17528
649.1 IPS |
|
|
Text Classification (SP)
|
100% |
1130
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1031
1.38 KIPS |
|
|
Text Classification (Q)
|
92% |
904
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1371
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2414
41.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3159
54.4 IPS |
