iPad Pro 11-inch (M4)
Geekbench AI Score
4844
Single Precision Score
7951
Half Precision Score
6390
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | BirdsLikeWires |
| Upload Date | September 09 2025 01:17 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 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% |
2101
390.7 IPS |
|
|
Image Classification (HP)
|
100% |
3356
624.2 IPS |
|
|
Image Classification (Q)
|
96% |
2334
435.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3213
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3636
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10003
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19486
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16658
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2420
192.0 IPS |
|
|
Object Detection (HP)
|
97% |
3789
301.6 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
4341
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7822
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4482
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8624
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14583
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10197
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21923
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38569
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31684
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6056
223.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7216
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5063
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5518
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5609
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4433
76.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7243
125.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7245
125.2 IPS |
