iPad Pro 11-inch (M4)
Geekbench AI Score
4952
Single Precision Score
8069
Half Precision Score
6478
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 03:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2098
390.2 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.7 IPS |
|
|
Image Classification (Q)
|
96% |
2368
442.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3254
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3579
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10043
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19466
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16658
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2429
192.6 IPS |
|
|
Object Detection (HP)
|
97% |
3804
302.8 IPS |
|
|
Object Detection (Q)
|
94% |
2733
217.9 IPS |
|
|
Face Detection (SP)
|
100% |
4299
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7754
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4457
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8554
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14108
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9966
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24471
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38694
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31791
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6004
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7138
263.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4981
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5856
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5979
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4584
79.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8097
139.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8031
138.8 IPS |
