iPad Pro 11-inch (M4)
Geekbench AI Score
2569
Single Precision Score
4325
Half Precision Score
3417
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 10 2025 08:30 PM |
| Views | 5 |
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% |
1080
200.8 IPS |
|
|
Image Classification (HP)
|
100% |
1784
331.8 IPS |
|
|
Image Classification (Q)
|
96% |
1192
222.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1846
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5645
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
10419
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8882
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1288
102.2 IPS |
|
|
Object Detection (HP)
|
97% |
1995
158.9 IPS |
|
|
Object Detection (Q)
|
94% |
1408
112.2 IPS |
|
|
Face Detection (SP)
|
100% |
2171
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
3837
45.6 IPS |
|
|
Face Detection (Q)
|
100% |
2237
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4584
35.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
7448
57.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
5165
40.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12753
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20782
26.7 IPS |
|
|
Style Transfer (Q)
|
96% |
17012
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3380
124.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3949
145.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2723
100.6 IPS |
|
|
Text Classification (SP)
|
100% |
1887
2.52 KIPS |
|
|
Text Classification (HP)
|
99% |
3158
4.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3157
4.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2707
46.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4616
79.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4671
80.7 IPS |
