iPad Pro 11-inch (M4)
Geekbench AI Score
9982
Single Precision Score
11832
Half Precision Score
11038
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
4552
846.5 IPS |
|
|
Image Classification (HP)
|
100% |
4983
926.7 IPS |
|
|
Image Classification (Q)
|
96% |
4451
831.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7034
114.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8026
130.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7702
124.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27102
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31021
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30159
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4623
366.7 IPS |
|
|
Object Detection (HP)
|
100% |
5207
413.0 IPS |
|
|
Object Detection (Q)
|
92% |
4894
390.6 IPS |
|
|
Face Detection (SP)
|
100% |
12123
144.0 IPS |
|
|
Face Detection (HP)
|
100% |
16744
199.0 IPS |
|
|
Face Detection (Q)
|
100% |
13477
160.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19471
150.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22285
171.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
20186
157.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55996
72.0 IPS |
|
|
Style Transfer (HP)
|
100% |
67082
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
65396
84.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11369
419.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11647
430.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10278
379.5 IPS |
|
|
Text Classification (SP)
|
100% |
3319
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5915
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5534
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4910
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4829
83.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5245
90.6 IPS |
