iPad16,1
Geekbench AI Score
4084
Single Precision Score
4569
Half Precision Score
4740
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 11:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
969
180.2 IPS |
|
|
Image Classification (HP)
|
100% |
878
163.2 IPS |
|
|
Image Classification (Q)
|
96% |
1135
212.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3607
58.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3804
61.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3776
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12132
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13932
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13586
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
100% |
1385
109.9 IPS |
|
|
Object Detection (Q)
|
92% |
1387
110.7 IPS |
|
|
Face Detection (SP)
|
100% |
5005
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
5867
69.7 IPS |
|
|
Face Detection (Q)
|
100% |
6503
77.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10149
78.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11187
86.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10225
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26005
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30054
38.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29777
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4356
160.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4243
156.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4531
167.3 IPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5432
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5431
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1457
25.2 IPS |
