iPad14,4
Geekbench AI Score
7506
Single Precision Score
8378
Half Precision Score
7735
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ahmadalfakher |
| Upload Date | October 18 2025 09:37 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
3677
683.9 IPS |
|
|
Image Classification (HP)
|
100% |
3698
687.7 IPS |
|
|
Image Classification (Q)
|
96% |
3357
626.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5784
93.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5944
96.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5682
92.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24741
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26818
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
25982
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3563
282.6 IPS |
|
|
Object Detection (HP)
|
100% |
3603
285.8 IPS |
|
|
Object Detection (Q)
|
92% |
3463
276.5 IPS |
|
|
Face Detection (SP)
|
100% |
10414
123.7 IPS |
|
|
Face Detection (HP)
|
100% |
12131
144.1 IPS |
|
|
Face Detection (Q)
|
100% |
10094
119.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17017
131.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18139
139.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
16667
130.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43244
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49184
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
47716
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9780
361.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10276
379.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8961
330.9 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3694
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3735
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1774
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1954
33.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1663
28.7 IPS |
