iPad14,6
Geekbench AI Score
3308
Single Precision Score
6060
Half Precision Score
4906
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 10:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1287
239.4 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.1 IPS |
|
|
Image Classification (Q)
|
96% |
1757
328.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2746
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6334
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
15093
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12926
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1432
113.6 IPS |
|
|
Object Detection (HP)
|
97% |
2821
224.6 IPS |
|
|
Object Detection (Q)
|
94% |
2050
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
3089
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6048
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3508
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5416
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11022
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7748
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18105
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28284
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23483
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3761
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5136
189.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3727
137.6 IPS |
|
|
Text Classification (SP)
|
100% |
2263
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3902
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3888
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3619
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6851
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6838
118.2 IPS |
