iPad14,6
Geekbench AI Score
7479
Single Precision Score
8333
Half Precision Score
7584
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | shagger1111 |
| Upload Date | August 04 2025 04:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3656
679.9 IPS |
|
|
Image Classification (HP)
|
100% |
3629
674.8 IPS |
|
|
Image Classification (Q)
|
96% |
3401
635.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5706
92.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5869
95.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5594
90.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24644
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26779
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
25978
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3647
289.3 IPS |
|
|
Object Detection (HP)
|
100% |
3692
292.9 IPS |
|
|
Object Detection (Q)
|
92% |
3333
266.0 IPS |
|
|
Face Detection (SP)
|
100% |
10295
122.3 IPS |
|
|
Face Detection (HP)
|
100% |
11941
141.9 IPS |
|
|
Face Detection (Q)
|
100% |
9993
118.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16809
129.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18135
139.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
16677
130.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43229
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49396
63.5 IPS |
|
|
Style Transfer (Q)
|
96% |
47835
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9795
361.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10321
381.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8822
325.8 IPS |
|
|
Text Classification (SP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3835
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3854
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1778
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1812
31.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1411
24.4 IPS |
