iPad Pro 11-inch (M4)
Geekbench AI Score
4746
Single Precision Score
7882
Half Precision Score
6306
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | croman247 |
| Upload Date | December 19 2024 06:17 AM |
| Views | 2 |
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% |
2021
375.9 IPS |
|
|
Image Classification (HP)
|
100% |
3358
624.4 IPS |
|
|
Image Classification (Q)
|
96% |
2345
437.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3346
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3690
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10078
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19140
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16501
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2254
178.8 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2712
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
4014
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
7824
93.0 IPS |
|
|
Face Detection (Q)
|
100% |
4504
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8341
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14752
114.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10229
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25169
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38057
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31501
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5876
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6823
251.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4827
178.2 IPS |
|
|
Text Classification (SP)
|
100% |
3008
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5534
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5356
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3953
68.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6821
117.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6847
118.3 IPS |
