iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3487
Single Precision Score
6085
Half Precision Score
4914
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | February 12 2026 01:23 PM |
| Views | 5 |
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 | iPad14,4 |
| Motherboard | J618AP |
| 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% |
1400
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
2535
471.4 IPS |
|
|
Image Classification (Q)
|
96% |
1763
329.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2797
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6833
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
15255
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13081
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
97% |
2818
224.3 IPS |
|
|
Object Detection (Q)
|
94% |
2059
164.1 IPS |
|
|
Face Detection (SP)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6031
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3485
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5653
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11062
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7701
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18665
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29404
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24319
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4130
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5207
192.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3757
138.7 IPS |
|
|
Text Classification (SP)
|
100% |
2372
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3934
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3924
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3715
64.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6514
112.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6436
111.2 IPS |
