iPad Pro 11-inch (M4)
Geekbench AI Score
4963
Single Precision Score
8043
Half Precision Score
6437
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Segura |
| Upload Date | November 04 2025 10:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2093
389.2 IPS |
|
|
Image Classification (HP)
|
100% |
3363
625.5 IPS |
|
|
Image Classification (Q)
|
96% |
2355
439.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3233
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3539
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10129
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19476
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16641
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
97% |
3829
304.9 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4259
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7673
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4391
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8497
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14048
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9858
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24219
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38683
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31758
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6059
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7151
264.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5013
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
99% |
5851
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5869
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4535
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8017
138.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8083
139.7 IPS |
