iPad Pro 11-inch (M4)
Geekbench AI Score
10030
Single Precision Score
11900
Half Precision Score
11063
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 01:29 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% |
4521
840.7 IPS |
|
|
Image Classification (HP)
|
100% |
4982
926.5 IPS |
|
|
Image Classification (Q)
|
96% |
4480
836.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7120
115.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7994
129.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7708
125.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27137
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31021
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30182
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4592
364.3 IPS |
|
|
Object Detection (HP)
|
100% |
5205
412.9 IPS |
|
|
Object Detection (Q)
|
92% |
4810
384.0 IPS |
|
|
Face Detection (SP)
|
100% |
12642
150.2 IPS |
|
|
Face Detection (HP)
|
100% |
16805
199.7 IPS |
|
|
Face Detection (Q)
|
100% |
13458
159.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20068
154.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22288
171.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
20400
159.3 IPS |
|
|
Style Transfer (SP)
|
100% |
55381
71.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67118
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65136
84.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11411
421.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11719
432.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10316
380.9 IPS |
|
|
Text Classification (SP)
|
100% |
3278
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5853
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5712
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4891
84.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5139
88.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5202
89.9 IPS |
