iPad Pro 11-inch (M4)
Geekbench AI Score
4767
Single Precision Score
7870
Half Precision Score
6359
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 08:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2036
378.6 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.1 IPS |
|
|
Image Classification (Q)
|
96% |
2357
440.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3344
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3738
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10078
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19037
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16524
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2279
180.8 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2752
219.4 IPS |
|
|
Face Detection (SP)
|
100% |
4091
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
7928
94.2 IPS |
|
|
Face Detection (Q)
|
100% |
4583
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8378
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14803
114.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10349
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25200
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38243
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31775
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5819
214.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6694
247.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4805
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5409
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5447
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3942
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6869
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6852
118.4 IPS |
