iPad14,4
Geekbench AI Score
3276
Single Precision Score
5876
Half Precision Score
4825
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 09:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1268
235.9 IPS |
|
|
Image Classification (HP)
|
100% |
2400
446.3 IPS |
|
|
Image Classification (Q)
|
96% |
1679
313.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2751
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6326
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
14974
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12798
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
97% |
2738
218.0 IPS |
|
|
Object Detection (Q)
|
94% |
1997
159.2 IPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5931
70.5 IPS |
|
|
Face Detection (Q)
|
100% |
3436
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5430
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10740
83.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7639
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18141
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28259
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23356
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3697
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4985
184.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3715
137.2 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3745
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3716
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3594
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6766
116.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6847
118.3 IPS |
