iPad Pro 11-inch (M4)
Geekbench AI Score
10736
Single Precision Score
12612
Half Precision Score
12007
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 05 2026 08:51 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
4568
849.5 IPS |
|
|
Image Classification (HP)
|
100% |
4942
919.1 IPS |
|
|
Image Classification (Q)
|
96% |
4665
871.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7073
114.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7950
128.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7707
124.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27204
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30963
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30140
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4667
370.2 IPS |
|
|
Object Detection (HP)
|
100% |
5204
412.8 IPS |
|
|
Object Detection (Q)
|
91% |
5053
403.9 IPS |
|
|
Face Detection (SP)
|
100% |
12913
153.4 IPS |
|
|
Face Detection (HP)
|
100% |
17487
207.8 IPS |
|
|
Face Detection (Q)
|
100% |
16229
192.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19905
153.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22279
171.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
20851
163.2 IPS |
|
|
Style Transfer (SP)
|
100% |
54391
69.9 IPS |
|
|
Style Transfer (HP)
|
100% |
67057
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
64843
83.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11014
406.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11406
421.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10129
374.0 IPS |
|
|
Text Classification (SP)
|
100% |
6130
8.18 KIPS |
|
|
Text Classification (HP)
|
100% |
9522
12.7 KIPS |
|
|
Text Classification (Q)
|
93% |
9638
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
5255
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5670
97.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5314
91.8 IPS |
