iPad16,1
Geekbench AI Score
4257
Single Precision Score
4718
Half Precision Score
4646
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 02:50 AM |
| Views | 2 |
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% |
999
185.8 IPS |
|
|
Image Classification (HP)
|
100% |
1008
187.4 IPS |
|
|
Image Classification (Q)
|
96% |
1003
187.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3532
57.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3729
60.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3631
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12024
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13635
15.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
13329
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1689
134.0 IPS |
|
|
Object Detection (HP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (Q)
|
92% |
1606
128.2 IPS |
|
|
Face Detection (SP)
|
100% |
5603
66.6 IPS |
|
|
Face Detection (HP)
|
100% |
6481
77.0 IPS |
|
|
Face Detection (Q)
|
100% |
6475
76.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10265
79.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11125
85.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10183
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26061
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29897
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30560
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4974
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4014
148.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3894
143.8 IPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5699
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5583
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1125
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1361
23.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1375
23.8 IPS |
