iPad Pro 11-inch (M4)
Geekbench AI Score
4522
Single Precision Score
7274
Half Precision Score
5578
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 05:41 PM |
| Views | 1 |
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% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
3395
631.4 IPS |
|
|
Image Classification (Q)
|
96% |
2298
429.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1860
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3105
50.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3479
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9669
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17666
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14260
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2257
179.0 IPS |
|
|
Object Detection (HP)
|
97% |
3690
293.8 IPS |
|
|
Object Detection (Q)
|
94% |
2647
211.0 IPS |
|
|
Face Detection (SP)
|
100% |
3973
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
5952
70.7 IPS |
|
|
Face Detection (Q)
|
100% |
4283
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8403
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13179
101.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9759
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22691
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29963
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31568
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5915
218.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5848
215.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3992
147.4 IPS |
|
|
Text Classification (SP)
|
100% |
3332
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5779
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4063
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2924
50.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7601
131.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4518
78.1 IPS |
