iPad16,1
Geekbench AI Score
2101
Single Precision Score
2366
Half Precision Score
2237
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 16 2025 02:10 AM |
| Views | 2 |
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% |
982
182.5 IPS |
|
|
Image Classification (HP)
|
100% |
1122
208.7 IPS |
|
|
Image Classification (Q)
|
96% |
991
185.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3583
58.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3869
62.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3758
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12140
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13975
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13610
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1435
113.8 IPS |
|
|
Object Detection (HP)
|
100% |
1661
131.8 IPS |
|
|
Object Detection (Q)
|
92% |
1502
119.9 IPS |
|
|
Face Detection (SP)
|
100% |
6664
79.2 IPS |
|
|
Face Detection (HP)
|
100% |
8237
97.9 IPS |
|
|
Face Detection (Q)
|
100% |
6484
77.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10432
80.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10977
84.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10134
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26590
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30865
39.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30485
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4606
170.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3572
131.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3728
137.7 IPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5474
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5543
7.44 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
9.16 IPS |
|
|
Machine Translation (HP)
|
0% |
0
10.3 IPS |
|
|
Machine Translation (Q)
|
0% |
0
9.18 IPS |
