iPad16,1
Geekbench AI Score
4276
Single Precision Score
4885
Half Precision Score
4507
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 11 2025 03:03 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
941
175.1 IPS |
|
|
Image Classification (HP)
|
100% |
1239
230.4 IPS |
|
|
Image Classification (Q)
|
96% |
866
161.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3593
58.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3816
61.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3688
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12171
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14039
16.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13623
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.5 IPS |
|
|
Object Detection (HP)
|
100% |
1660
131.7 IPS |
|
|
Object Detection (Q)
|
92% |
1336
106.6 IPS |
|
|
Face Detection (SP)
|
100% |
6678
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
8174
97.1 IPS |
|
|
Face Detection (Q)
|
100% |
6311
75.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10496
80.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11388
87.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9979
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26552
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30821
39.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30262
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4689
173.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3497
129.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4034
149.0 IPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5474
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5563
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1392
24.1 IPS |
