iPad Pro 11-inch (M4)
Geekbench AI Score
4937
Single Precision Score
36510
Half Precision Score
51838
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | testani |
| Upload Date | October 18 2025 01:23 AM |
| Views | 7 |
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 | iPad16,3 |
| 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% |
2092
389.0 IPS |
|
|
Image Classification (HP)
|
100% |
16855
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
25293
4.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22405
363.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30744
498.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10052
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122887
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232863
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (HP)
|
100% |
18530
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25726
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4275
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
42408
503.9 IPS |
|
|
Face Detection (Q)
|
100% |
63385
753.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8500
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98760
760.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
162135
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24407
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233418
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
319473
412.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6042
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52708
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88106
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3270
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5713
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5666
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4572
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16627
286.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18352
317.1 IPS |
