iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3463
Single Precision Score
6005
Half Precision Score
4877
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | deleavell |
| Upload Date | December 29 2025 09:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.3 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
2526
469.8 IPS |
|
|
Image Classification (Q)
|
96% |
1757
328.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2791
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6810
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15377
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12969
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
97% |
2827
225.1 IPS |
|
|
Object Detection (Q)
|
94% |
2053
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6027
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3477
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5646
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10928
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7778
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18649
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29051
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23963
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3968
146.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4981
183.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3720
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3792
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3780
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6398
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6400
110.6 IPS |
