iPad Pro 13-inch (M4)
Geekbench AI Score
10059
Single Precision Score
11927
Half Precision Score
11098
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 08:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4525
841.5 IPS |
|
|
Image Classification (HP)
|
100% |
4946
919.8 IPS |
|
|
Image Classification (Q)
|
96% |
4442
829.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7101
115.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8013
129.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7686
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27071
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30973
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30155
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4590
364.1 IPS |
|
|
Object Detection (HP)
|
100% |
5175
410.5 IPS |
|
|
Object Detection (Q)
|
92% |
4814
384.3 IPS |
|
|
Face Detection (SP)
|
100% |
12722
151.2 IPS |
|
|
Face Detection (HP)
|
100% |
16860
200.3 IPS |
|
|
Face Detection (Q)
|
100% |
13506
160.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20017
154.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22266
171.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
20688
161.6 IPS |
|
|
Style Transfer (SP)
|
100% |
56670
72.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67623
86.9 IPS |
|
|
Style Transfer (Q)
|
96% |
65438
84.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11536
426.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11947
441.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10291
380.0 IPS |
|
|
Text Classification (SP)
|
100% |
3233
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5756
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5781
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4937
85.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5256
90.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5258
90.9 IPS |