iPad Pro 11-inch (M4)
Geekbench AI Score
4962
Single Precision Score
8050
Half Precision Score
6426
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Nuckell |
| Upload Date | December 02 2025 11:42 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2100
390.6 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.7 IPS |
|
|
Image Classification (Q)
|
96% |
2341
437.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3174
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3525
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10099
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19489
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16631
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2434
193.1 IPS |
|
|
Object Detection (HP)
|
97% |
3824
304.5 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4257
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7691
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
4392
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8488
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14042
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9856
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24553
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38715
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31764
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6101
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7198
265.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5036
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
3408
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
5814
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5740
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4533
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8151
140.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8157
141.0 IPS |
