iPad Pro 13-inch (M4)
Geekbench AI Score
4988
Single Precision Score
8068
Half Precision Score
6470
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | opinionb |
| Upload Date | August 03 2025 03:44 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2128
395.7 IPS |
|
|
Image Classification (HP)
|
100% |
3406
633.4 IPS |
|
|
Image Classification (Q)
|
96% |
2365
441.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2168
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3215
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3563
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10045
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19493
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16655
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2427
192.5 IPS |
|
|
Object Detection (HP)
|
97% |
3836
305.4 IPS |
|
|
Object Detection (Q)
|
94% |
2728
217.4 IPS |
|
|
Face Detection (SP)
|
100% |
4302
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7647
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4440
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8532
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14121
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9934
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24543
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39498
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32381
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6041
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7190
265.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4997
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
5765
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5834
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4556
78.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8080
139.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8072
139.5 IPS |
