iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3096
Single Precision Score
5430
Half Precision Score
4452
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 27 2025 10:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1308
243.2 IPS |
|
|
Image Classification (HP)
|
100% |
2201
409.3 IPS |
|
|
Image Classification (Q)
|
96% |
1567
292.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2507
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6033
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14119
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12135
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
97% |
2407
191.6 IPS |
|
|
Object Detection (Q)
|
94% |
1776
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
2977
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5393
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3155
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5462
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10265
79.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7358
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16474
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26163
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21854
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3459
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4612
170.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3507
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2449
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4361
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4328
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2504
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4719
81.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4699
81.2 IPS |
