iPad Pro 11-inch (M4)
Geekbench AI Score
9937
Single Precision Score
11669
Half Precision Score
10940
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 26 2025 02:37 PM |
| Views | 4 |
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% |
4476
832.4 IPS |
|
|
Image Classification (HP)
|
100% |
5004
930.6 IPS |
|
|
Image Classification (Q)
|
96% |
4513
842.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7094
115.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7950
128.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7660
124.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
26828
31.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
30973
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30084
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4553
361.1 IPS |
|
|
Object Detection (HP)
|
100% |
5072
402.3 IPS |
|
|
Object Detection (Q)
|
92% |
4725
377.1 IPS |
|
|
Face Detection (SP)
|
100% |
12608
149.8 IPS |
|
|
Face Detection (HP)
|
100% |
16693
198.4 IPS |
|
|
Face Detection (Q)
|
100% |
13353
158.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19969
153.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22074
170.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20092
156.9 IPS |
|
|
Style Transfer (SP)
|
100% |
54945
70.6 IPS |
|
|
Style Transfer (HP)
|
100% |
66926
86.0 IPS |
|
|
Style Transfer (Q)
|
96% |
64948
83.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11321
418.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11624
429.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10287
379.8 IPS |
|
|
Text Classification (SP)
|
100% |
3293
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5779
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5773
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4697
80.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4524
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4830
83.5 IPS |
