iPad Pro 11-inch (M4)
Geekbench AI Score
4961
Single Precision Score
8067
Half Precision Score
6448
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 08 2025 05:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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% |
2127
395.5 IPS |
|
|
Image Classification (HP)
|
100% |
3421
636.3 IPS |
|
|
Image Classification (Q)
|
96% |
2377
443.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3205
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3550
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10050
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19510
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16669
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.9 IPS |
|
|
Object Detection (HP)
|
97% |
3857
307.0 IPS |
|
|
Object Detection (Q)
|
94% |
2712
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
4240
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
7525
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4390
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8516
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14025
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9876
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24236
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39086
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32307
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6020
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7221
266.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5004
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5848
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5747
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4630
79.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8125
140.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8091
139.8 IPS |
