iPad Pro 11-inch (M4)
Geekbench AI Score
10030
Single Precision Score
11832
Half Precision Score
10982
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:57 AM |
| 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% |
4502
837.3 IPS |
|
|
Image Classification (HP)
|
100% |
5009
931.6 IPS |
|
|
Image Classification (Q)
|
96% |
4482
836.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7126
115.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7975
129.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7755
125.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
26996
31.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
30992
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30152
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4604
365.2 IPS |
|
|
Object Detection (HP)
|
100% |
5147
408.3 IPS |
|
|
Object Detection (Q)
|
92% |
4792
382.5 IPS |
|
|
Face Detection (SP)
|
100% |
12716
151.1 IPS |
|
|
Face Detection (HP)
|
100% |
16859
200.3 IPS |
|
|
Face Detection (Q)
|
100% |
13476
160.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20015
154.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22355
172.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
20411
159.4 IPS |
|
|
Style Transfer (SP)
|
100% |
55856
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67099
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65115
84.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11340
418.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11759
434.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10299
380.3 IPS |
|
|
Text Classification (SP)
|
100% |
3294
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5567
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5744
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4870
83.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5101
87.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4798
82.9 IPS |
