iPad Pro 11-inch (M4)
Geekbench AI Score
10066
Single Precision Score
11918
Half Precision Score
10236
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4556
847.4 IPS |
|
|
Image Classification (HP)
|
100% |
4996
929.1 IPS |
|
|
Image Classification (Q)
|
96% |
4553
850.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7110
115.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7996
129.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7711
125.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27101
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30968
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30167
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4648
368.6 IPS |
|
|
Object Detection (HP)
|
100% |
5245
416.0 IPS |
|
|
Object Detection (Q)
|
92% |
4816
384.5 IPS |
|
|
Face Detection (SP)
|
100% |
12792
152.0 IPS |
|
|
Face Detection (HP)
|
100% |
16948
201.4 IPS |
|
|
Face Detection (Q)
|
100% |
13525
160.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20045
154.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22250
171.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
20239
158.1 IPS |
|
|
Style Transfer (SP)
|
100% |
55970
72.0 IPS |
|
|
Style Transfer (HP)
|
100% |
67086
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
65195
84.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11333
418.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11824
436.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10397
383.9 IPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5693
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5823
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4924
84.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5236
90.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2292
39.6 IPS |
