iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4470
Single Precision Score
7444
Half Precision Score
6014
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 03:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
3348
622.6 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2613
42.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2996
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9349
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18301
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15837
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2390
189.6 IPS |
|
|
Object Detection (HP)
|
97% |
3694
294.1 IPS |
|
|
Object Detection (Q)
|
94% |
2611
208.1 IPS |
|
|
Face Detection (SP)
|
100% |
3955
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
6914
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
4177
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7803
60.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13358
103.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9408
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20458
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36386
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29980
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5030
185.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6317
233.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4498
166.1 IPS |
|
|
Text Classification (SP)
|
100% |
2851
3.81 KIPS |
|
|
Text Classification (HP)
|
99% |
5480
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5451
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4492
77.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7598
131.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7586
131.1 IPS |
