iPad14,4
Geekbench AI Score
7533
Single Precision Score
8388
Half Precision Score
7726
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 06:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3714
690.6 IPS |
|
|
Image Classification (HP)
|
100% |
3697
687.6 IPS |
|
|
Image Classification (Q)
|
96% |
3381
631.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5787
93.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5938
96.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5676
92.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24714
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26825
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
25985
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3576
283.6 IPS |
|
|
Object Detection (HP)
|
100% |
3589
284.7 IPS |
|
|
Object Detection (Q)
|
92% |
3413
272.4 IPS |
|
|
Face Detection (SP)
|
100% |
10382
123.4 IPS |
|
|
Face Detection (HP)
|
100% |
11971
142.2 IPS |
|
|
Face Detection (Q)
|
100% |
9995
118.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16907
130.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18203
140.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
16620
129.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42996
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49283
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
47706
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9837
363.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10287
379.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8852
326.9 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3785
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3819
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1814
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1951
33.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1663
28.7 IPS |
