iPad14,6
Geekbench AI Score
3298
Single Precision Score
6023
Half Precision Score
4881
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:56 PM |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1283
238.6 IPS |
|
|
Image Classification (HP)
|
100% |
2478
460.7 IPS |
|
|
Image Classification (Q)
|
96% |
1724
322.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2424
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2745
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6337
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
15068
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12876
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1424
112.9 IPS |
|
|
Object Detection (HP)
|
97% |
2811
223.8 IPS |
|
|
Object Detection (Q)
|
94% |
2041
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6003
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3488
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5387
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10952
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7762
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18099
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28160
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23398
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3721
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5094
188.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3707
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3882
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3608
62.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6749
116.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6761
116.8 IPS |
