iPad Pro 11-inch (M4)
Geekbench AI Score
10048
Single Precision Score
11768
Half Precision Score
11071
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:21 AM |
| Views | 1 |
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% |
4525
841.5 IPS |
|
|
Image Classification (HP)
|
100% |
5015
932.7 IPS |
|
|
Image Classification (Q)
|
96% |
4483
837.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7079
114.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7960
129.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7682
124.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27073
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31006
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30120
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4568
362.3 IPS |
|
|
Object Detection (HP)
|
100% |
5215
413.7 IPS |
|
|
Object Detection (Q)
|
92% |
4857
387.7 IPS |
|
|
Face Detection (SP)
|
100% |
12493
148.4 IPS |
|
|
Face Detection (HP)
|
100% |
16671
198.1 IPS |
|
|
Face Detection (Q)
|
100% |
13318
158.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20018
154.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22655
174.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
20409
159.4 IPS |
|
|
Style Transfer (SP)
|
100% |
55940
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
67246
86.4 IPS |
|
|
Style Transfer (Q)
|
96% |
65265
84.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11661
430.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11710
432.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10446
385.7 IPS |
|
|
Text Classification (SP)
|
100% |
3306
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5740
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5681
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4912
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4623
79.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5218
90.2 IPS |
