iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5111
Single Precision Score
5817
Half Precision Score
5468
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dimajcc |
| Upload Date | October 10 2025 10:23 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2095
389.5 IPS |
|
|
Image Classification (HP)
|
100% |
1850
344.1 IPS |
|
|
Image Classification (Q)
|
96% |
1872
349.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3982
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4204
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4042
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16913
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18808
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18396
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
100% |
2704
214.5 IPS |
|
|
Object Detection (Q)
|
92% |
2429
193.9 IPS |
|
|
Face Detection (SP)
|
100% |
6746
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
8375
99.5 IPS |
|
|
Face Detection (Q)
|
100% |
7080
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12210
94.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13941
107.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
12728
99.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28720
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34185
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33898
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6344
234.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7260
268.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6094
225.0 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3902
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3871
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
981
17.0 IPS |
