iPad Pro 11-inch (M4)
Geekbench AI Score
10005
Single Precision Score
11809
Half Precision Score
10921
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 10:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
4482
833.6 IPS |
|
|
Image Classification (HP)
|
100% |
4950
920.6 IPS |
|
|
Image Classification (Q)
|
96% |
4547
849.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7106
115.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7955
129.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7688
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27124
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30989
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30163
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4585
363.7 IPS |
|
|
Object Detection (HP)
|
100% |
5197
412.2 IPS |
|
|
Object Detection (Q)
|
92% |
4812
384.1 IPS |
|
|
Face Detection (SP)
|
100% |
12740
151.4 IPS |
|
|
Face Detection (HP)
|
100% |
16807
199.7 IPS |
|
|
Face Detection (Q)
|
100% |
13470
160.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20229
155.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22251
171.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
20360
159.0 IPS |
|
|
Style Transfer (SP)
|
100% |
55510
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67181
86.4 IPS |
|
|
Style Transfer (Q)
|
96% |
65326
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11362
419.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11689
431.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10278
379.5 IPS |
|
|
Text Classification (SP)
|
100% |
3276
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5819
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5634
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4767
82.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4868
83.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4585
79.2 IPS |
