iPad14,4
Geekbench AI Score
7546
Single Precision Score
8420
Half Precision Score
7839
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 09:02 PM |
| Views | 1 |
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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3731
693.8 IPS |
|
|
Image Classification (HP)
|
100% |
3735
694.6 IPS |
|
|
Image Classification (Q)
|
96% |
3378
630.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5783
93.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5937
96.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5691
92.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24749
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26842
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26057
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3586
284.5 IPS |
|
|
Object Detection (HP)
|
100% |
3609
286.2 IPS |
|
|
Object Detection (Q)
|
92% |
3418
272.8 IPS |
|
|
Face Detection (SP)
|
100% |
10413
123.7 IPS |
|
|
Face Detection (HP)
|
100% |
12099
143.8 IPS |
|
|
Face Detection (Q)
|
100% |
10068
119.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16971
130.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18150
139.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
16699
130.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42841
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49224
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47755
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9844
363.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10341
381.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8871
327.6 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3812
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3826
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1812
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1957
33.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1879
32.5 IPS |
