iPad16,1
Geekbench AI Score
4271
Single Precision Score
4972
Half Precision Score
4833
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | December 20 2025 02:27 PM |
| Views | 10 |
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% |
1030
191.5 IPS |
|
|
Image Classification (HP)
|
100% |
1391
258.6 IPS |
|
|
Image Classification (Q)
|
96% |
1305
243.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3595
58.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3883
62.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3680
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11996
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13371
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
13189
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1944
154.2 IPS |
|
|
Object Detection (HP)
|
100% |
1688
133.9 IPS |
|
|
Object Detection (Q)
|
92% |
1738
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
5714
67.9 IPS |
|
|
Face Detection (HP)
|
100% |
6281
74.6 IPS |
|
|
Face Detection (Q)
|
100% |
6468
76.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10035
77.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11142
85.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10185
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25549
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29643
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29067
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4734
174.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4608
170.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4058
149.8 IPS |
|
|
Text Classification (SP)
|
100% |
3138
4.19 KIPS |
|
|
Text Classification (HP)
|
99% |
5585
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5555
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1077
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1464
25.3 IPS |
