iPad14,4
Geekbench AI Score
7512
Single Precision Score
8404
Half Precision Score
7793
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | riotryan |
| Upload Date | December 04 2025 03:49 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3694
687.0 IPS |
|
|
Image Classification (HP)
|
100% |
3723
692.3 IPS |
|
|
Image Classification (Q)
|
96% |
3506
654.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5778
93.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5951
96.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5691
92.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24762
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26788
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
25948
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3587
284.5 IPS |
|
|
Object Detection (HP)
|
100% |
3597
285.3 IPS |
|
|
Object Detection (Q)
|
92% |
3421
273.0 IPS |
|
|
Face Detection (SP)
|
100% |
10473
124.4 IPS |
|
|
Face Detection (HP)
|
100% |
12092
143.7 IPS |
|
|
Face Detection (Q)
|
100% |
10102
120.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16914
130.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18174
140.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
16688
130.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42733
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49285
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
47776
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9818
362.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10289
379.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8829
326.0 IPS |
|
|
Text Classification (SP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3918
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1752
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1675
28.9 IPS |
