iPad14,4
Geekbench AI Score
7364
Single Precision Score
8241
Half Precision Score
7622
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 07:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3638
676.5 IPS |
|
|
Image Classification (HP)
|
100% |
3671
682.8 IPS |
|
|
Image Classification (Q)
|
96% |
3408
636.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5720
92.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5879
95.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5630
91.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24390
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26729
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
25863
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
3639
288.6 IPS |
|
|
Object Detection (HP)
|
100% |
3682
292.1 IPS |
|
|
Object Detection (Q)
|
92% |
3348
267.3 IPS |
|
|
Face Detection (SP)
|
100% |
10319
122.6 IPS |
|
|
Face Detection (HP)
|
100% |
12035
143.0 IPS |
|
|
Face Detection (Q)
|
100% |
10014
119.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16753
129.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18103
139.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
16614
129.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42418
54.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49125
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
47714
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9923
366.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10307
380.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8842
326.5 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3847
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3797
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1526
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1495
25.8 IPS |
