iPad Pro 11-inch (M4)
Geekbench AI Score
4727
Single Precision Score
7871
Half Precision Score
6329
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 10:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
3365
625.8 IPS |
|
|
Image Classification (Q)
|
96% |
2356
439.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3291
53.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3730
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10063
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19089
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16493
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2253
178.7 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2736
218.1 IPS |
|
|
Face Detection (SP)
|
100% |
4029
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
7873
93.6 IPS |
|
|
Face Detection (Q)
|
100% |
4546
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8311
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14762
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10288
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25309
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38332
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31751
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5843
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6687
246.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4809
177.6 IPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5342
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3956
68.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7022
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6819
117.8 IPS |
