iPad16,2
Geekbench AI Score
4314
Single Precision Score
4693
Half Precision Score
4590
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 03:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| 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% |
1323
246.0 IPS |
|
|
Image Classification (HP)
|
100% |
841
156.3 IPS |
|
|
Image Classification (Q)
|
96% |
887
165.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3598
58.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3774
61.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3704
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12018
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13897
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13364
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1615
128.1 IPS |
|
|
Object Detection (HP)
|
100% |
1424
112.9 IPS |
|
|
Object Detection (Q)
|
92% |
1644
131.3 IPS |
|
|
Face Detection (SP)
|
100% |
5345
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
8253
98.1 IPS |
|
|
Face Detection (Q)
|
100% |
6608
78.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10161
78.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11144
85.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10157
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26008
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30060
38.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29909
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4665
172.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4218
155.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3548
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5548
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5489
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1473
25.5 IPS |
