iPad Pro 11-inch (M4)
Geekbench AI Score
4975
Single Precision Score
8033
Half Precision Score
6481
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 06 2025 11:03 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2128
395.8 IPS |
|
|
Image Classification (HP)
|
100% |
3400
632.3 IPS |
|
|
Image Classification (Q)
|
96% |
2376
443.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3236
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3618
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10007
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19415
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16694
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
97% |
3797
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2743
218.6 IPS |
|
|
Face Detection (SP)
|
100% |
4339
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7804
92.7 IPS |
|
|
Face Detection (Q)
|
100% |
4502
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8629
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14142
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10026
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24228
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38801
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31990
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6027
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7015
259.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4950
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5708
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5777
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4575
78.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8053
139.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8047
139.1 IPS |
