iPad Pro 11-inch (M4)
Geekbench AI Score
4959
Single Precision Score
8023
Half Precision Score
6387
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 01:15 PM |
| Views | 2 |
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 | iPad16,3 |
| 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% |
2081
386.9 IPS |
|
|
Image Classification (HP)
|
100% |
3336
620.5 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3149
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3500
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10054
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19501
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16664
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2686
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
4279
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
7643
90.8 IPS |
|
|
Face Detection (Q)
|
100% |
4385
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8494
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14059
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9856
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24424
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38673
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31723
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6081
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7244
267.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5031
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
3304
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5780
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5647
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4616
79.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8135
140.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8108
140.1 IPS |
