iPad14,6
Geekbench AI Score
7547
Single Precision Score
8367
Half Precision Score
7789
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 10:17 AM |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3700
688.0 IPS |
|
|
Image Classification (HP)
|
100% |
3707
689.4 IPS |
|
|
Image Classification (Q)
|
96% |
3372
629.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5793
93.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5950
96.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5688
92.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24741
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26791
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26082
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3586
284.4 IPS |
|
|
Object Detection (HP)
|
100% |
3598
285.4 IPS |
|
|
Object Detection (Q)
|
92% |
3445
275.0 IPS |
|
|
Face Detection (SP)
|
100% |
10428
123.9 IPS |
|
|
Face Detection (HP)
|
100% |
12067
143.4 IPS |
|
|
Face Detection (Q)
|
100% |
10078
119.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16970
130.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18272
140.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
16801
131.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43212
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49186
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
47737
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9844
363.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10324
381.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8839
326.4 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3783
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3889
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1827
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1869
32.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1718
29.7 IPS |
