iPad Pro 11-inch (M4)
Geekbench AI Score
9507
Single Precision Score
11160
Half Precision Score
10332
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | austinh |
| Upload Date | July 28 2025 07:05 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
4458
829.0 IPS |
|
|
Image Classification (HP)
|
100% |
4815
895.5 IPS |
|
|
Image Classification (Q)
|
96% |
4518
843.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7175
116.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7945
128.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7678
124.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27709
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29741
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29440
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4585
363.7 IPS |
|
|
Object Detection (HP)
|
100% |
5167
409.9 IPS |
|
|
Object Detection (Q)
|
92% |
4752
379.3 IPS |
|
|
Face Detection (SP)
|
100% |
12766
151.7 IPS |
|
|
Face Detection (HP)
|
100% |
16577
197.0 IPS |
|
|
Face Detection (Q)
|
100% |
13363
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20526
158.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21963
169.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
20368
159.1 IPS |
|
|
Style Transfer (SP)
|
100% |
57450
73.9 IPS |
|
|
Style Transfer (HP)
|
100% |
65988
84.8 IPS |
|
|
Style Transfer (Q)
|
96% |
64149
82.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11868
438.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11487
424.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10328
381.4 IPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5479
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5507
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2824
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2878
49.7 IPS |
