iPad16,1
Geekbench AI Score
3769
Single Precision Score
25442
Half Precision Score
34892
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | December 26 2025 04:35 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1597
297.0 IPS |
|
|
Image Classification (HP)
|
100% |
10245
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
13256
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16565
268.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21561
349.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6874
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
103099
120.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
200174
234.6 IPS |
|
|
Object Detection (SP)
|
100% |
1652
131.0 IPS |
|
|
Object Detection (HP)
|
100% |
11962
948.8 IPS |
|
|
Object Detection (Q)
|
91% |
16294
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
36662
435.6 IPS |
|
|
Face Detection (Q)
|
100% |
52431
623.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6511
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
71707
552.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
111096
868.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19863
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
200656
257.9 IPS |
|
|
Style Transfer (Q)
|
96% |
241748
312.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4513
166.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31721
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54965
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5543
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5660
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3358
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5854
100.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6550
113.2 IPS |
