iPad Pro 11-inch (M4)
Geekbench AI Score
10059
Single Precision Score
11928
Half Precision Score
10963
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | piotrga |
| Upload Date | September 21 2025 10:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
4514
839.5 IPS |
|
|
Image Classification (HP)
|
100% |
5123
952.8 IPS |
|
|
Image Classification (Q)
|
96% |
4483
837.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7204
116.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8000
129.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7753
125.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27110
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30983
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30173
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4627
367.0 IPS |
|
|
Object Detection (HP)
|
100% |
5217
413.9 IPS |
|
|
Object Detection (Q)
|
92% |
4805
383.5 IPS |
|
|
Face Detection (SP)
|
100% |
12754
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
16862
200.4 IPS |
|
|
Face Detection (Q)
|
100% |
13450
159.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20106
154.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22202
171.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20317
158.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55862
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67639
87.0 IPS |
|
|
Style Transfer (Q)
|
96% |
65774
84.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11366
419.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11743
433.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10327
381.3 IPS |
|
|
Text Classification (SP)
|
100% |
3305
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5753
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5698
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4834
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5146
88.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4707
81.4 IPS |
