iPad Pro 11-inch (M4)
Geekbench AI Score
4730
Single Precision Score
7863
Half Precision Score
6340
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | atrophyalive |
| Upload Date | December 20 2024 03:44 AM |
| Views | 31 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
3337
620.5 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3342
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3689
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10070
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19099
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16484
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2245
178.1 IPS |
|
|
Object Detection (HP)
|
97% |
3781
301.0 IPS |
|
|
Object Detection (Q)
|
94% |
2724
217.1 IPS |
|
|
Face Detection (SP)
|
100% |
4004
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7786
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
4526
53.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8298
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14705
113.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10260
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25223
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38253
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31683
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6787
250.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4844
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5467
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5491
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3905
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6905
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6966
120.4 IPS |
