iPad Pro 11-inch (M4)
Geekbench AI Score
4817
Single Precision Score
7825
Half Precision Score
6129
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 05:28 PM |
| Views | 2 |
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 | iPad16,4 |
| Motherboard | J718AP |
| 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% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.7 IPS |
|
|
Image Classification (Q)
|
96% |
1875
350.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3137
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3482
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9752
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18555
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15998
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2420
191.9 IPS |
|
|
Object Detection (HP)
|
97% |
3743
297.9 IPS |
|
|
Object Detection (Q)
|
94% |
2642
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
4121
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
7097
84.3 IPS |
|
|
Face Detection (Q)
|
100% |
4289
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8458
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13933
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9750
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23576
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37536
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29601
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5510
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7132
263.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5005
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3337
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5841
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5841
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4433
76.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7538
130.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7495
129.5 IPS |
