iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3299
Single Precision Score
6014
Half Precision Score
4892
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 03:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1302
242.2 IPS |
|
|
Image Classification (HP)
|
100% |
2530
470.5 IPS |
|
|
Image Classification (Q)
|
96% |
1760
328.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2782
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6313
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
14987
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12782
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.5 IPS |
|
|
Object Detection (HP)
|
97% |
2814
224.0 IPS |
|
|
Object Detection (Q)
|
94% |
2044
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
3008
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
6020
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3485
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5357
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10890
84.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7670
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18102
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28146
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23406
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3713
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4992
184.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3721
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
2327
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3856
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3863
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3628
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6859
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6836
118.1 IPS |
