iPad16,1
Geekbench AI Score
4366
Single Precision Score
4684
Half Precision Score
4770
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 12:03 PM |
| Views | 6 |
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 | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
838
155.8 IPS |
|
|
Image Classification (Q)
|
96% |
1321
246.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3612
58.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3826
62.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3632
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12122
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13856
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13476
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1533
121.6 IPS |
|
|
Object Detection (HP)
|
100% |
1604
127.2 IPS |
|
|
Object Detection (Q)
|
92% |
1639
130.8 IPS |
|
|
Face Detection (SP)
|
100% |
5527
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
6854
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
6385
75.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10101
77.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11027
85.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10242
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26034
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30134
38.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29846
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4972
183.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3998
147.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3493
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5505
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5693
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1426
24.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1483
25.6 IPS |
