iPad16,1
Geekbench AI Score
4205
Single Precision Score
4750
Half Precision Score
4667
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 07:17 PM |
| Views | 3 |
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% |
1326
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
851
158.3 IPS |
|
|
Image Classification (Q)
|
96% |
1324
247.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3547
57.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3794
61.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3696
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11739
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13455
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
12804
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1469
116.6 IPS |
|
|
Object Detection (HP)
|
100% |
1676
133.0 IPS |
|
|
Object Detection (Q)
|
92% |
1763
140.8 IPS |
|
|
Face Detection (SP)
|
100% |
5195
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
7426
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
6037
71.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9906
76.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11072
85.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10125
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25365
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29067
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28626
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4656
171.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4852
179.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3746
138.3 IPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5473
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5533
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1082
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1226
21.2 IPS |
