iPad16,1
Geekbench AI Score
3979
Single Precision Score
6848
Half Precision Score
5578
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | funskeen |
| Upload Date | December 08 2024 10:53 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1742
323.9 IPS |
|
|
Image Classification (HP)
|
100% |
2918
542.6 IPS |
|
|
Image Classification (Q)
|
96% |
2019
377.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1656
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2397
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3102
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7828
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
15742
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13638
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.4 IPS |
|
|
Object Detection (HP)
|
97% |
3373
268.5 IPS |
|
|
Object Detection (Q)
|
94% |
2337
186.2 IPS |
|
|
Face Detection (SP)
|
100% |
3341
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
6960
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
3903
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6936
53.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13615
105.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9223
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20758
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32103
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26977
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4902
181.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5889
217.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4418
163.1 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5539
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5513
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3275
56.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6162
106.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6178
106.8 IPS |
