iPad Pro 11-inch (M4)
Geekbench AI Score
4717
Single Precision Score
7821
Half Precision Score
6258
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | buggshash |
| Upload Date | December 10 2024 06:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
2004
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.0 IPS |
|
|
Image Classification (Q)
|
96% |
2337
436.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3336
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3627
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10080
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19109
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16461
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2219
176.0 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2708
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
3970
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7703
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4442
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8311
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14646
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10186
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25113
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37966
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31411
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5878
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6899
254.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4851
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5152
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5096
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3939
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6891
119.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6944
120.0 IPS |
