iPad14,4
Geekbench AI Score
3287
Single Precision Score
6054
Half Precision Score
4887
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | imaginebox |
| Upload Date | November 09 2025 05:32 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1298
241.5 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.2 IPS |
|
|
Image Classification (Q)
|
96% |
1766
329.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2768
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6291
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
15240
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12815
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
97% |
2806
223.4 IPS |
|
|
Object Detection (Q)
|
94% |
2037
162.4 IPS |
|
|
Face Detection (SP)
|
100% |
2983
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
6019
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3475
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5353
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10913
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7659
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18072
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28069
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23474
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3722
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5036
186.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3715
137.2 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
4001
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3857
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3598
62.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6900
119.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6805
117.6 IPS |
