iPad14,6
Geekbench AI Score
3305
Single Precision Score
6022
Half Precision Score
4887
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 01:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1287
239.3 IPS |
|
|
Image Classification (HP)
|
100% |
2484
462.0 IPS |
|
|
Image Classification (Q)
|
96% |
1735
324.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2367
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2740
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6316
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
14990
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13070
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
97% |
2818
224.4 IPS |
|
|
Object Detection (Q)
|
94% |
2040
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6029
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3476
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5367
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11018
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7777
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18096
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28259
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23388
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3811
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5148
190.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3705
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3884
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3883
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3612
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6730
116.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6745
116.6 IPS |
