iPad Pro 11-inch (M4)
Geekbench AI Score
4915
Single Precision Score
36444
Half Precision Score
52136
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
2075
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
17604
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
27261
5.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22342
362.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30714
497.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9985
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122834
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231459
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2402
190.5 IPS |
|
|
Object Detection (HP)
|
100% |
17949
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26324
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4228
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
42770
508.2 IPS |
|
|
Face Detection (Q)
|
100% |
62300
740.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8483
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99133
763.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
167433
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24225
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232670
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
319038
411.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6041
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50716
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83963
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5765
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5727
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4551
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16527
284.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18176
314.1 IPS |
