iPad Pro 11-inch (M4)
Geekbench AI Score
4434
Single Precision Score
6335
Half Precision Score
5438
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | 1145141919810 |
| Upload Date | August 26 2025 01:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1929
358.8 IPS |
|
|
Image Classification (HP)
|
100% |
2604
484.2 IPS |
|
|
Image Classification (Q)
|
96% |
1937
361.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1809
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2409
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9877
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18717
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16205
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2075
164.6 IPS |
|
|
Object Detection (HP)
|
97% |
3031
241.3 IPS |
|
|
Object Detection (Q)
|
94% |
2277
181.5 IPS |
|
|
Face Detection (SP)
|
100% |
3559
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
5697
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3655
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7583
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
11116
85.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8349
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23997
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35246
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29449
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5760
212.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6798
251.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4865
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
3071
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5159
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5829
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5153
89.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5158
89.1 IPS |
