iPad14,6
Geekbench AI Score
3189
Single Precision Score
5552
Half Precision Score
4866
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 03:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1280
238.0 IPS |
|
|
Image Classification (HP)
|
100% |
1975
367.3 IPS |
|
|
Image Classification (Q)
|
96% |
1716
320.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2738
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5954
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15008
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12802
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
97% |
2727
217.1 IPS |
|
|
Object Detection (Q)
|
94% |
2033
162.0 IPS |
|
|
Face Detection (SP)
|
100% |
3051
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
4841
57.5 IPS |
|
|
Face Detection (Q)
|
100% |
3374
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5423
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10900
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7677
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18066
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20535
26.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23131
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3690
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5027
185.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3712
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3996
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4003
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3567
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6734
116.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6844
118.3 IPS |
