iPad Pro 11-inch (M4)
Geekbench AI Score
9928
Single Precision Score
11856
Half Precision Score
10716
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% |
4562
848.4 IPS |
|
|
Image Classification (HP)
|
100% |
4994
928.8 IPS |
|
|
Image Classification (Q)
|
96% |
4444
829.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7147
115.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7980
129.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7666
124.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27118
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31020
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30137
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4634
367.6 IPS |
|
|
Object Detection (HP)
|
100% |
5284
419.2 IPS |
|
|
Object Detection (Q)
|
92% |
4783
381.8 IPS |
|
|
Face Detection (SP)
|
100% |
12575
149.4 IPS |
|
|
Face Detection (HP)
|
100% |
16811
199.8 IPS |
|
|
Face Detection (Q)
|
100% |
13331
158.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19956
153.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
21355
164.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
20601
160.9 IPS |
|
|
Style Transfer (SP)
|
100% |
53347
68.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67276
86.5 IPS |
|
|
Style Transfer (Q)
|
96% |
65588
84.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11553
426.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11841
437.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10418
384.7 IPS |
|
|
Text Classification (SP)
|
100% |
3392
4.53 KIPS |
|
|
Text Classification (HP)
|
99% |
5922
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
6007
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4330
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4964
85.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3608
62.4 IPS |
