iPad Pro 11-inch (M4)
Geekbench AI Score
10076
Single Precision Score
11944
Half Precision Score
10990
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 03:01 AM |
| Views | 5 |
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 | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4529
842.3 IPS |
|
|
Image Classification (HP)
|
100% |
4983
926.6 IPS |
|
|
Image Classification (Q)
|
96% |
4464
833.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7173
116.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8018
130.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7700
124.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27220
31.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31002
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30174
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4637
367.8 IPS |
|
|
Object Detection (HP)
|
100% |
5198
412.3 IPS |
|
|
Object Detection (Q)
|
92% |
4800
383.2 IPS |
|
|
Face Detection (SP)
|
100% |
12759
151.6 IPS |
|
|
Face Detection (HP)
|
100% |
16844
200.1 IPS |
|
|
Face Detection (Q)
|
100% |
13503
160.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20035
154.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22364
172.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20394
159.3 IPS |
|
|
Style Transfer (SP)
|
100% |
55567
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67757
87.1 IPS |
|
|
Style Transfer (Q)
|
96% |
65820
84.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11349
419.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11689
431.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10289
379.9 IPS |
|
|
Text Classification (SP)
|
100% |
3342
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5878
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5783
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4886
84.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5237
90.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4789
82.8 IPS |
