iPad16,1
Geekbench AI Score
4326
Single Precision Score
4716
Half Precision Score
4703
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 22 2025 08:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1016
188.9 IPS |
|
|
Image Classification (HP)
|
100% |
909
169.1 IPS |
|
|
Image Classification (Q)
|
96% |
1316
245.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3555
57.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3782
61.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3706
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11860
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12984
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12700
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
2119
168.1 IPS |
|
|
Object Detection (HP)
|
100% |
1653
131.1 IPS |
|
|
Object Detection (Q)
|
92% |
1626
129.8 IPS |
|
|
Face Detection (SP)
|
100% |
5817
69.1 IPS |
|
|
Face Detection (HP)
|
100% |
6898
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
5971
71.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9914
76.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10944
84.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10018
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25158
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29059
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28224
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4868
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3993
147.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4407
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
3284
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5795
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5644
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1453
25.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1254
21.7 IPS |
