iPad Pro 11-inch (M4)
Geekbench AI Score
9960
Single Precision Score
11835
Half Precision Score
11054
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 08 2025 04:03 AM |
| Views | 2 |
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, 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% |
4481
833.3 IPS |
|
|
Image Classification (HP)
|
100% |
4965
923.4 IPS |
|
|
Image Classification (Q)
|
96% |
4602
859.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7050
114.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7915
128.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7651
124.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
26916
31.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
30962
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30107
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4557
361.5 IPS |
|
|
Object Detection (HP)
|
100% |
5145
408.1 IPS |
|
|
Object Detection (Q)
|
92% |
4769
380.7 IPS |
|
|
Face Detection (SP)
|
100% |
12450
147.9 IPS |
|
|
Face Detection (HP)
|
100% |
16689
198.3 IPS |
|
|
Face Detection (Q)
|
100% |
13277
157.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19874
153.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22189
170.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20286
158.5 IPS |
|
|
Style Transfer (SP)
|
100% |
54828
70.5 IPS |
|
|
Style Transfer (HP)
|
100% |
66945
86.1 IPS |
|
|
Style Transfer (Q)
|
96% |
64723
83.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11331
418.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11626
429.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10307
380.6 IPS |
|
|
Text Classification (SP)
|
100% |
3290
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5850
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5843
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4903
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5112
88.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5135
88.7 IPS |
