iPad Pro 11-inch (M4)
Geekbench AI Score
4743
Single Precision Score
7837
Half Precision Score
6318
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | oldnick |
| Upload Date | December 31 2024 12:52 PM |
| 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 | iPad16,4 |
| Motherboard | J718AP |
| 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% |
2035
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
3352
623.3 IPS |
|
|
Image Classification (Q)
|
96% |
2346
438.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3287
53.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3706
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10115
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19122
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16538
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2263
179.5 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2704
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
4048
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
7876
93.6 IPS |
|
|
Face Detection (Q)
|
100% |
4551
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8319
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14760
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10264
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25263
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38422
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31787
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5879
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6811
251.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4900
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5199
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5197
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6887
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6901
119.3 IPS |
