iPad Pro 11-inch (M4)
Geekbench AI Score
4771
Single Precision Score
7811
Half Precision Score
6256
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 05:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
3372
627.1 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2066
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3113
50.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3471
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9223
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17213
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16024
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2323
184.2 IPS |
|
|
Object Detection (HP)
|
97% |
3770
300.2 IPS |
|
|
Object Detection (Q)
|
94% |
2638
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
4083
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
7353
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
4285
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8438
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13869
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9762
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22974
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38229
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31543
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5917
218.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7200
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5013
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5850
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5661
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4432
76.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7566
130.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7329
126.6 IPS |
