iPad Pro 11-inch (M4)
Geekbench AI Score
10081
Single Precision Score
11861
Half Precision Score
11077
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 01:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
4680
870.4 IPS |
|
|
Image Classification (HP)
|
100% |
4967
923.6 IPS |
|
|
Image Classification (Q)
|
96% |
4445
830.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7139
115.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7975
129.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7687
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27128
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30982
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30183
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4630
367.2 IPS |
|
|
Object Detection (HP)
|
100% |
5230
414.8 IPS |
|
|
Object Detection (Q)
|
92% |
4812
384.1 IPS |
|
|
Face Detection (SP)
|
100% |
12739
151.4 IPS |
|
|
Face Detection (HP)
|
100% |
16945
201.3 IPS |
|
|
Face Detection (Q)
|
100% |
13494
160.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20023
154.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22221
171.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
20494
160.1 IPS |
|
|
Style Transfer (SP)
|
100% |
55443
71.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67359
86.6 IPS |
|
|
Style Transfer (Q)
|
96% |
65347
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11375
420.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11673
431.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10287
379.8 IPS |
|
|
Text Classification (SP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5664
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5858
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4853
83.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5123
88.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5147
88.9 IPS |
