iPad16,1
Geekbench AI Score
3600
Single Precision Score
4599
Half Precision Score
4505
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 08:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
806
149.9 IPS |
|
|
Image Classification (HP)
|
100% |
1135
211.0 IPS |
|
|
Image Classification (Q)
|
96% |
847
158.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3368
54.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3086
50.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3541
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9064
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
13106
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11916
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1916
152.0 IPS |
|
|
Object Detection (HP)
|
100% |
1897
150.5 IPS |
|
|
Object Detection (Q)
|
92% |
2178
173.9 IPS |
|
|
Face Detection (SP)
|
100% |
5111
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
6467
76.8 IPS |
|
|
Face Detection (Q)
|
100% |
6353
75.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9442
72.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10498
80.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9705
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15270
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23964
30.8 IPS |
|
|
Style Transfer (Q)
|
96% |
25680
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4847
179.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4550
168.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4757
175.6 IPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5825
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5738
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1129
19.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1024
17.7 IPS |
