iPad Pro 11-inch (M4)
Geekbench AI Score
10016
Single Precision Score
11769
Half Precision Score
10811
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | testani |
| Upload Date | October 18 2025 01:26 AM |
| Views | 8 |
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, 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% |
4557
847.5 IPS |
|
|
Image Classification (HP)
|
100% |
5052
939.6 IPS |
|
|
Image Classification (Q)
|
96% |
4442
829.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7060
114.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7956
129.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7678
124.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27124
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31019
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30147
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4596
364.6 IPS |
|
|
Object Detection (HP)
|
100% |
5140
407.7 IPS |
|
|
Object Detection (Q)
|
92% |
4792
382.5 IPS |
|
|
Face Detection (SP)
|
100% |
12501
148.5 IPS |
|
|
Face Detection (HP)
|
100% |
16791
199.5 IPS |
|
|
Face Detection (Q)
|
100% |
13376
158.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20059
154.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22336
172.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20300
158.6 IPS |
|
|
Style Transfer (SP)
|
100% |
55370
71.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66913
86.0 IPS |
|
|
Style Transfer (Q)
|
96% |
64867
83.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11335
418.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11721
432.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10281
379.6 IPS |
|
|
Text Classification (SP)
|
100% |
3347
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5708
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5778
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4814
82.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4740
81.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4232
73.1 IPS |
