iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5229
Single Precision Score
6078
Half Precision Score
5664
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2295
426.8 IPS |
|
|
Image Classification (HP)
|
100% |
2429
451.6 IPS |
|
|
Image Classification (Q)
|
96% |
2095
391.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3985
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4293
69.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4111
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17223
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18885
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18575
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2654
210.6 IPS |
|
|
Object Detection (HP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (Q)
|
92% |
2455
196.0 IPS |
|
|
Face Detection (SP)
|
100% |
6837
81.2 IPS |
|
|
Face Detection (HP)
|
100% |
8484
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
7067
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12442
95.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13992
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
12708
99.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28749
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35101
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
34430
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6307
232.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7176
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5928
218.9 IPS |
|
|
Text Classification (SP)
|
100% |
2397
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4151
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4166
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
990
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1134
19.6 IPS |
