iPad Pro 11-inch (M4)
Geekbench AI Score
9386
Single Precision Score
10405
Half Precision Score
10340
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 07:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
4467
830.7 IPS |
|
|
Image Classification (HP)
|
100% |
4853
902.5 IPS |
|
|
Image Classification (Q)
|
96% |
4551
849.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7137
115.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7751
125.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7611
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27736
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29787
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29481
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4577
363.1 IPS |
|
|
Object Detection (HP)
|
100% |
5186
411.3 IPS |
|
|
Object Detection (Q)
|
92% |
4752
379.3 IPS |
|
|
Face Detection (SP)
|
100% |
12749
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
16510
196.2 IPS |
|
|
Face Detection (Q)
|
100% |
13401
159.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20508
158.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21976
169.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20242
158.1 IPS |
|
|
Style Transfer (SP)
|
100% |
57043
73.3 IPS |
|
|
Style Transfer (HP)
|
100% |
65674
84.4 IPS |
|
|
Style Transfer (Q)
|
96% |
63941
82.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11513
425.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11582
427.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10361
382.6 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5468
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5409
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2566
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1697
29.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2963
51.2 IPS |
