iPad Pro 11-inch (M4)
Geekbench AI Score
4661
Single Precision Score
7695
Half Precision Score
6318
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 02:45 PM |
| Views | 1 |
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 | iPad16,3 |
| 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% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
3376
627.9 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3133
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3466
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9687
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19408
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16538
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.1 IPS |
|
|
Object Detection (HP)
|
97% |
3858
307.1 IPS |
|
|
Object Detection (Q)
|
94% |
2674
213.2 IPS |
|
|
Face Detection (SP)
|
100% |
4216
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
6735
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
4221
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5736
44.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
11033
85.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9869
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24263
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38177
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30665
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5954
219.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7195
265.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4517
166.8 IPS |
|
|
Text Classification (SP)
|
100% |
3736
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5868
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
6276
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3618
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7675
132.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8007
138.4 IPS |
