iPad16,1
Geekbench AI Score
4172
Single Precision Score
4908
Half Precision Score
4603
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2025 03:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
937
174.2 IPS |
|
|
Image Classification (HP)
|
100% |
1355
252.0 IPS |
|
|
Image Classification (Q)
|
96% |
939
175.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3557
57.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3835
62.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3595
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11979
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13891
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13171
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1601
127.0 IPS |
|
|
Object Detection (HP)
|
100% |
1555
123.4 IPS |
|
|
Object Detection (Q)
|
92% |
1629
130.0 IPS |
|
|
Face Detection (SP)
|
100% |
5221
62.0 IPS |
|
|
Face Detection (HP)
|
100% |
7571
90.0 IPS |
|
|
Face Detection (Q)
|
100% |
5961
70.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10178
78.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11235
86.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10193
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26052
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30077
38.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30441
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4952
182.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3985
147.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3885
143.5 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5546
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5542
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1146
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1481
25.6 IPS |
