iPad Pro 11-inch (M4)
Geekbench AI Score
10044
Single Precision Score
11971
Half Precision Score
10503
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | austinh |
| Upload Date | January 25 2026 10:09 PM |
| Views | 10 |
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% |
4533
843.0 IPS |
|
|
Image Classification (HP)
|
100% |
4946
919.9 IPS |
|
|
Image Classification (Q)
|
96% |
4460
832.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7145
115.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8015
129.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7715
125.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27072
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30977
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30181
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4620
366.4 IPS |
|
|
Object Detection (HP)
|
100% |
5231
414.9 IPS |
|
|
Object Detection (Q)
|
92% |
4837
386.1 IPS |
|
|
Face Detection (SP)
|
100% |
12736
151.3 IPS |
|
|
Face Detection (HP)
|
100% |
16970
201.6 IPS |
|
|
Face Detection (Q)
|
100% |
13527
160.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20137
155.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22416
172.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
20400
159.3 IPS |
|
|
Style Transfer (SP)
|
100% |
54865
70.5 IPS |
|
|
Style Transfer (HP)
|
100% |
67207
86.4 IPS |
|
|
Style Transfer (Q)
|
96% |
65297
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11393
420.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11650
430.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10368
382.8 IPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5985
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5901
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4938
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5282
91.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2952
51.0 IPS |
