iPad Pro 11-inch (M4)
Geekbench AI Score
10024
Single Precision Score
11865
Half Precision Score
10464
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 08:40 AM |
| Views | 4 |
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% |
4536
843.5 IPS |
|
|
Image Classification (HP)
|
100% |
4978
925.7 IPS |
|
|
Image Classification (Q)
|
96% |
4435
828.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7113
115.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7988
129.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7696
124.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27046
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30978
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30149
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4579
363.2 IPS |
|
|
Object Detection (HP)
|
100% |
5179
410.8 IPS |
|
|
Object Detection (Q)
|
92% |
4794
382.6 IPS |
|
|
Face Detection (SP)
|
100% |
12716
151.1 IPS |
|
|
Face Detection (HP)
|
100% |
16783
199.4 IPS |
|
|
Face Detection (Q)
|
100% |
13491
160.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19920
153.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22232
171.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20615
161.0 IPS |
|
|
Style Transfer (SP)
|
100% |
56141
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67170
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65255
84.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11299
417.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11710
432.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10478
386.9 IPS |
|
|
Text Classification (SP)
|
100% |
3302
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5744
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5574
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4835
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5145
88.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3011
52.0 IPS |
