iPad16,1
Geekbench AI Score
4262
Single Precision Score
4743
Half Precision Score
4588
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 06:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
995
185.0 IPS |
|
|
Image Classification (HP)
|
100% |
1090
202.8 IPS |
|
|
Image Classification (Q)
|
96% |
987
184.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3567
57.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3921
63.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3743
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12179
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14001
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13635
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1784
141.5 IPS |
|
|
Object Detection (HP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (Q)
|
92% |
1526
121.8 IPS |
|
|
Face Detection (SP)
|
100% |
6414
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
7246
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
5904
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10111
77.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11113
85.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10175
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26610
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30306
39.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29954
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4282
158.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3628
134.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4290
158.4 IPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5509
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1266
21.9 IPS |
