iPad Pro 11-inch (M4)
Geekbench AI Score
10039
Single Precision Score
11869
Half Precision Score
10753
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 28 2025 09:30 PM |
| Views | 5 |
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% |
4658
866.2 IPS |
|
|
Image Classification (HP)
|
100% |
4977
925.6 IPS |
|
|
Image Classification (Q)
|
96% |
4441
829.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7244
117.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8102
131.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7776
126.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27153
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31206
36.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
30339
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
4444
352.5 IPS |
|
|
Object Detection (HP)
|
100% |
5187
411.4 IPS |
|
|
Object Detection (Q)
|
92% |
4812
384.1 IPS |
|
|
Face Detection (SP)
|
100% |
12545
149.1 IPS |
|
|
Face Detection (HP)
|
100% |
16266
193.3 IPS |
|
|
Face Detection (Q)
|
100% |
13372
158.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20000
154.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22333
172.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
21082
164.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55060
70.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67344
86.6 IPS |
|
|
Style Transfer (Q)
|
96% |
64948
83.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11454
422.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11683
431.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10062
371.5 IPS |
|
|
Text Classification (SP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5727
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5912
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4828
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5194
89.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3766
65.1 IPS |
