iPad Pro 13-inch (M4)
Geekbench AI Score
10059
Single Precision Score
11962
Half Precision Score
11082
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 27 2025 10:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4658
866.2 IPS |
|
|
Image Classification (HP)
|
100% |
5173
962.0 IPS |
|
|
Image Classification (Q)
|
96% |
4599
858.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7063
114.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8018
130.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7687
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27142
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30977
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30205
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4586
363.8 IPS |
|
|
Object Detection (HP)
|
100% |
5195
412.1 IPS |
|
|
Object Detection (Q)
|
92% |
4803
383.3 IPS |
|
|
Face Detection (SP)
|
100% |
12698
150.9 IPS |
|
|
Face Detection (HP)
|
100% |
16888
200.7 IPS |
|
|
Face Detection (Q)
|
100% |
13368
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20161
155.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22197
171.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20476
159.9 IPS |
|
|
Style Transfer (SP)
|
100% |
55034
70.7 IPS |
|
|
Style Transfer (HP)
|
100% |
67354
86.6 IPS |
|
|
Style Transfer (Q)
|
96% |
64874
83.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11371
419.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11734
433.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10345
382.0 IPS |
|
|
Text Classification (SP)
|
100% |
3316
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5949
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5756
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4877
84.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5102
87.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5156
89.1 IPS |
