iPad Pro 11-inch (M4)
Geekbench AI Score
4754
Single Precision Score
7864
Half Precision Score
6340
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 30 2024 04:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2019
375.4 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.1 IPS |
|
|
Image Classification (Q)
|
96% |
2330
435.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3315
53.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3652
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10110
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19110
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16509
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2254
178.8 IPS |
|
|
Object Detection (HP)
|
97% |
3810
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2719
216.7 IPS |
|
|
Face Detection (SP)
|
100% |
4034
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
7857
93.4 IPS |
|
|
Face Detection (Q)
|
100% |
4517
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8323
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14768
114.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10256
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25168
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38015
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31629
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5874
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6774
250.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4847
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
3049
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5444
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5637
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3924
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6863
118.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6867
118.7 IPS |
