iPad Pro 11-inch (M4)
Geekbench AI Score
9995
Single Precision Score
11836
Half Precision Score
11025
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Esq255 |
| Upload Date | August 16 2025 06:37 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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% |
4481
833.3 IPS |
|
|
Image Classification (HP)
|
100% |
4994
928.7 IPS |
|
|
Image Classification (Q)
|
96% |
4500
840.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7103
115.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7945
128.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7717
125.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27018
31.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
30999
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30155
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4567
362.2 IPS |
|
|
Object Detection (HP)
|
100% |
5139
407.6 IPS |
|
|
Object Detection (Q)
|
92% |
4794
382.6 IPS |
|
|
Face Detection (SP)
|
100% |
12661
150.4 IPS |
|
|
Face Detection (HP)
|
100% |
16785
199.4 IPS |
|
|
Face Detection (Q)
|
100% |
13400
159.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19928
153.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22301
171.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20238
158.1 IPS |
|
|
Style Transfer (SP)
|
100% |
56042
72.0 IPS |
|
|
Style Transfer (HP)
|
100% |
67101
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
64749
83.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11296
417.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11716
432.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10294
380.1 IPS |
|
|
Text Classification (SP)
|
100% |
3316
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5687
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5708
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4787
82.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5104
87.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5126
88.6 IPS |
