iPad Pro 13-inch (M4)
Geekbench AI Score
4717
Single Precision Score
7823
Half Precision Score
6280
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 01 2025 05:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
3322
617.8 IPS |
|
|
Image Classification (Q)
|
96% |
2332
435.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3323
53.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3681
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10048
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19100
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16488
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2243
177.9 IPS |
|
|
Object Detection (HP)
|
97% |
3811
303.4 IPS |
|
|
Object Detection (Q)
|
94% |
2707
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
3987
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7797
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
4485
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8303
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14686
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10201
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25211
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38311
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31627
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5851
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6797
251.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4818
177.9 IPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5153
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5163
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3935
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6957
120.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6920
119.6 IPS |
