iPad Pro 11-inch (M4)
Geekbench AI Score
4900
Single Precision Score
8035
Half Precision Score
6380
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 06 2025 07:15 PM |
| Views | 4 |
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% |
2044
380.1 IPS |
|
|
Image Classification (HP)
|
100% |
3429
637.7 IPS |
|
|
Image Classification (Q)
|
96% |
2292
428.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3187
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3503
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9913
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19424
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16605
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2427
192.5 IPS |
|
|
Object Detection (HP)
|
97% |
3778
300.8 IPS |
|
|
Object Detection (Q)
|
94% |
2687
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
4162
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
7554
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
4358
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8476
65.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14009
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9778
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23484
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39322
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32177
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5987
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7246
267.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5020
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
3338
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5736
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5729
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4608
79.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8093
139.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7911
136.7 IPS |
