iPad Pro 11-inch (M4)
Geekbench AI Score
4740
Single Precision Score
7887
Half Precision Score
6338
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | AndrewReynosa |
| Upload Date | January 06 2025 11:08 PM |
| Views | 3 |
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% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
3367
626.2 IPS |
|
|
Image Classification (Q)
|
96% |
2357
440.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3326
53.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3698
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10060
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19125
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16496
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2255
178.9 IPS |
|
|
Object Detection (HP)
|
97% |
3810
303.4 IPS |
|
|
Object Detection (Q)
|
94% |
2727
217.4 IPS |
|
|
Face Detection (SP)
|
100% |
4010
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7837
93.1 IPS |
|
|
Face Detection (Q)
|
100% |
4514
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8309
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14783
114.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10197
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25275
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38274
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31622
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5839
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6800
251.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4823
178.1 IPS |
|
|
Text Classification (SP)
|
100% |
3064
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5449
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5452
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3895
67.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6955
120.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6978
120.6 IPS |
