iPad Pro 11-inch (M4)
Geekbench AI Score
10176
Single Precision Score
11795
Half Precision Score
11232
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 11:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4682
870.7 IPS |
|
|
Image Classification (HP)
|
100% |
4917
914.4 IPS |
|
|
Image Classification (Q)
|
96% |
4612
861.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7229
117.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7929
128.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7827
126.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27398
32.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
29376
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
30069
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4541
360.2 IPS |
|
|
Object Detection (HP)
|
100% |
5401
428.4 IPS |
|
|
Object Detection (Q)
|
92% |
4819
384.7 IPS |
|
|
Face Detection (SP)
|
100% |
12751
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
17203
204.4 IPS |
|
|
Face Detection (Q)
|
100% |
13612
161.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20974
161.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22321
172.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
21500
167.9 IPS |
|
|
Style Transfer (SP)
|
100% |
56868
73.1 IPS |
|
|
Style Transfer (HP)
|
100% |
67870
87.2 IPS |
|
|
Style Transfer (Q)
|
96% |
62284
80.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11933
440.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11312
417.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10950
404.3 IPS |
|
|
Text Classification (SP)
|
100% |
3365
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
6007
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5845
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4630
79.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4758
82.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5241
90.6 IPS |
