iPad14,4
Geekbench AI Score
7522
Single Precision Score
8395
Half Precision Score
7710
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | riotryan |
| Upload Date | October 31 2025 12:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3653
679.3 IPS |
|
|
Image Classification (HP)
|
100% |
3783
703.5 IPS |
|
|
Image Classification (Q)
|
96% |
3369
629.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5803
94.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5952
96.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5695
92.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24757
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26907
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
26031
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3585
284.4 IPS |
|
|
Object Detection (HP)
|
100% |
3596
285.3 IPS |
|
|
Object Detection (Q)
|
92% |
3418
272.8 IPS |
|
|
Face Detection (SP)
|
100% |
10471
124.4 IPS |
|
|
Face Detection (HP)
|
100% |
12024
142.9 IPS |
|
|
Face Detection (Q)
|
100% |
10084
119.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16888
130.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18153
139.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
16732
130.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43224
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49212
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47626
61.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9868
364.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10268
379.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8855
327.0 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3763
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3744
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1767
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1923
33.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1634
28.2 IPS |
