iPad Pro 11-inch (M4)
Geekbench AI Score
10050
Single Precision Score
11880
Half Precision Score
11043
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 09:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
4538
843.8 IPS |
|
|
Image Classification (HP)
|
100% |
5007
931.1 IPS |
|
|
Image Classification (Q)
|
96% |
4471
834.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7110
115.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7977
129.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7688
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27103
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30985
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30162
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4617
366.3 IPS |
|
|
Object Detection (HP)
|
100% |
5213
413.5 IPS |
|
|
Object Detection (Q)
|
92% |
4810
384.0 IPS |
|
|
Face Detection (SP)
|
100% |
12716
151.1 IPS |
|
|
Face Detection (HP)
|
100% |
16824
199.9 IPS |
|
|
Face Detection (Q)
|
100% |
13477
160.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20053
154.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22250
171.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
20369
159.1 IPS |
|
|
Style Transfer (SP)
|
100% |
56243
72.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67143
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65424
84.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11328
418.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11871
438.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10313
380.8 IPS |
|
|
Text Classification (SP)
|
100% |
3301
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5679
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5657
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4858
83.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5123
88.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5163
89.2 IPS |
