iPad Pro 11-inch (M4)
Geekbench AI Score
10038
Single Precision Score
11910
Half Precision Score
10486
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 01:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4632
861.4 IPS |
|
|
Image Classification (HP)
|
100% |
5170
961.4 IPS |
|
|
Image Classification (Q)
|
96% |
4655
869.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7162
116.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8169
132.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7833
127.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27191
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31153
36.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
30459
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
4580
363.3 IPS |
|
|
Object Detection (HP)
|
100% |
5196
412.1 IPS |
|
|
Object Detection (Q)
|
92% |
4766
380.4 IPS |
|
|
Face Detection (SP)
|
100% |
12587
149.6 IPS |
|
|
Face Detection (HP)
|
100% |
16683
198.2 IPS |
|
|
Face Detection (Q)
|
100% |
13424
159.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19944
153.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22183
170.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20233
158.0 IPS |
|
|
Style Transfer (SP)
|
100% |
55285
71.1 IPS |
|
|
Style Transfer (HP)
|
100% |
67056
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
65066
84.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11414
421.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11625
429.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10296
380.2 IPS |
|
|
Text Classification (SP)
|
100% |
3332
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5701
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5676
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4767
82.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5110
88.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2942
50.8 IPS |
