iPad Pro 11-inch (M4)
Geekbench AI Score
4953
Single Precision Score
8070
Half Precision Score
6463
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 08:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 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% |
2116
393.5 IPS |
|
|
Image Classification (HP)
|
100% |
3394
631.1 IPS |
|
|
Image Classification (Q)
|
96% |
2373
443.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3166
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3554
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10088
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19471
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16671
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.4 IPS |
|
|
Object Detection (Q)
|
94% |
2726
217.3 IPS |
|
|
Face Detection (SP)
|
100% |
4281
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7692
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
4449
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8533
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14136
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9986
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24539
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38773
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31826
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6092
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7181
265.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5009
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5939
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5795
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4536
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8204
141.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8085
139.7 IPS |
