iPad Pro 11-inch (M4)
Geekbench AI Score
4876
Single Precision Score
7914
Half Precision Score
6253
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 03:39 PM |
| 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% |
2060
383.2 IPS |
|
|
Image Classification (HP)
|
100% |
2860
531.8 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3198
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3208
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9139
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19498
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16646
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2423
192.2 IPS |
|
|
Object Detection (HP)
|
97% |
3831
305.0 IPS |
|
|
Object Detection (Q)
|
94% |
2691
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
4238
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
7574
90.0 IPS |
|
|
Face Detection (Q)
|
100% |
4388
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8499
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14066
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9850
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24380
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38737
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31790
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6067
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7180
265.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4997
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3302
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5961
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5680
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4541
78.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7988
138.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8001
138.3 IPS |
