iPad16,1
Geekbench AI Score
3863
Single Precision Score
6941
Half Precision Score
5695
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 18 2025 11:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1598
297.2 IPS |
|
|
Image Classification (HP)
|
100% |
2939
546.6 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3061
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7375
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
16029
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13765
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1679
133.1 IPS |
|
|
Object Detection (HP)
|
97% |
3299
262.7 IPS |
|
|
Object Detection (Q)
|
94% |
2361
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3197
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6883
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
3886
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6709
51.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12949
100.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9049
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20892
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33524
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27548
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4575
168.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5650
208.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4329
159.9 IPS |
|
|
Text Classification (SP)
|
100% |
3309
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5498
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5545
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3477
59.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7597
131.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7651
132.2 IPS |
