iPad14,6
Geekbench AI Score
7511
Single Precision Score
8446
Half Precision Score
7706
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 12:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3696
687.3 IPS |
|
|
Image Classification (HP)
|
100% |
3704
688.9 IPS |
|
|
Image Classification (Q)
|
96% |
3365
628.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5752
93.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5926
96.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5676
92.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24661
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26741
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26055
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3553
281.8 IPS |
|
|
Object Detection (HP)
|
100% |
3591
284.8 IPS |
|
|
Object Detection (Q)
|
92% |
3391
270.7 IPS |
|
|
Face Detection (SP)
|
100% |
10352
123.0 IPS |
|
|
Face Detection (HP)
|
100% |
12095
143.7 IPS |
|
|
Face Detection (Q)
|
100% |
10046
119.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16808
129.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18150
139.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
16614
129.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42872
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49147
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
47679
61.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9778
361.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10198
376.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8878
327.8 IPS |
|
|
Text Classification (SP)
|
100% |
2216
2.96 KIPS |
|
|
Text Classification (HP)
|
99% |
3873
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3847
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1899
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2059
35.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1610
27.8 IPS |
