iPad Pro 13-inch (M4)
Geekbench AI Score
4295
Single Precision Score
5055
Half Precision Score
4701
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | October 09 2025 03:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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
841.6 IPS |
|
|
Image Classification (HP)
|
100% |
4997
929.2 IPS |
|
|
Image Classification (Q)
|
96% |
4422
825.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7100
115.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7973
129.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7724
125.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27071
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30984
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30181
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4586
363.7 IPS |
|
|
Object Detection (HP)
|
100% |
5194
412.0 IPS |
|
|
Object Detection (Q)
|
92% |
4805
383.6 IPS |
|
|
Face Detection (SP)
|
100% |
12721
151.2 IPS |
|
|
Face Detection (HP)
|
100% |
16868
200.4 IPS |
|
|
Face Detection (Q)
|
100% |
13477
160.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20011
154.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22235
171.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20347
158.9 IPS |
|
|
Style Transfer (SP)
|
100% |
55514
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67211
86.4 IPS |
|
|
Style Transfer (Q)
|
96% |
64927
83.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11403
421.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11745
433.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10298
380.3 IPS |
|
|
Text Classification (SP)
|
100% |
3324
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5750
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5814
7.80 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
41.6 IPS |
|
|
Machine Translation (HP)
|
0% |
0
44.6 IPS |
|
|
Machine Translation (Q)
|
0% |
0
40.4 IPS |
