iPad Pro 11-inch (M4)
Geekbench AI Score
4973
Single Precision Score
8064
Half Precision Score
6418
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Esq255 |
| Upload Date | August 16 2025 06:35 AM |
| Views | 6 |
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% |
2083
387.3 IPS |
|
|
Image Classification (HP)
|
100% |
3418
635.7 IPS |
|
|
Image Classification (Q)
|
96% |
2341
437.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3144
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3508
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10086
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19480
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16611
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (HP)
|
97% |
3863
307.5 IPS |
|
|
Object Detection (Q)
|
94% |
2708
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
4296
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7711
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4411
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8532
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14071
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9845
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24632
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39503
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32248
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6096
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7198
265.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5011
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3309
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5703
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5665
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4643
80.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8177
141.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8084
139.7 IPS |
