iPad Pro 13-inch (M4)
Geekbench AI Score
10084
Single Precision Score
11893
Half Precision Score
11073
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 26 2025 09:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4566
849.1 IPS |
|
|
Image Classification (HP)
|
100% |
5054
939.8 IPS |
|
|
Image Classification (Q)
|
96% |
4521
844.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7117
115.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8033
130.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7702
124.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27226
31.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31002
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30166
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4595
364.5 IPS |
|
|
Object Detection (HP)
|
100% |
5230
414.9 IPS |
|
|
Object Detection (Q)
|
92% |
4800
383.1 IPS |
|
|
Face Detection (SP)
|
100% |
12762
151.6 IPS |
|
|
Face Detection (HP)
|
100% |
16876
200.5 IPS |
|
|
Face Detection (Q)
|
100% |
13443
159.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20005
154.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22382
172.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
20347
158.9 IPS |
|
|
Style Transfer (SP)
|
100% |
56363
72.5 IPS |
|
|
Style Transfer (HP)
|
100% |
67218
86.4 IPS |
|
|
Style Transfer (Q)
|
96% |
65288
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11356
419.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11673
431.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10283
379.7 IPS |
|
|
Text Classification (SP)
|
100% |
3313
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5733
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5753
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4941
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5065
87.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5205
89.9 IPS |
