iPad Pro 11-inch (M4)
Geekbench AI Score
4752
Single Precision Score
7841
Half Precision Score
6262
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 02 2025 09:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2033
378.1 IPS |
|
|
Image Classification (HP)
|
100% |
3326
618.6 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3216
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3535
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9765
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19279
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16472
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2393
189.8 IPS |
|
|
Object Detection (HP)
|
97% |
3749
298.4 IPS |
|
|
Object Detection (Q)
|
94% |
2651
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
4134
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
7408
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4323
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8531
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14442
111.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10075
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20968
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38013
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31350
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5924
218.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7241
267.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5045
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5524
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5501
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4403
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6993
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6947
120.1 IPS |
