iPad16,1
Geekbench AI Score
3994
Single Precision Score
6833
Half Precision Score
5578
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 11 2025 08:23 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1757
326.8 IPS |
|
|
Image Classification (HP)
|
100% |
2922
543.4 IPS |
|
|
Image Classification (Q)
|
96% |
2007
374.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3070
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7782
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
15835
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13850
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1778
141.0 IPS |
|
|
Object Detection (HP)
|
97% |
3336
265.6 IPS |
|
|
Object Detection (Q)
|
94% |
2322
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
3378
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
6925
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
3856
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6953
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13450
104.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9216
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20934
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32138
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27157
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4868
179.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5779
213.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4432
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5560
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5538
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3318
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6256
108.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6216
107.4 IPS |
