iPad Pro 11-inch (M4)
Geekbench AI Score
8786
Single Precision Score
10487
Half Precision Score
9498
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | coorelle |
| Upload Date | March 15 2025 05:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
4307
801.0 IPS |
|
|
Image Classification (HP)
|
100% |
4658
866.3 IPS |
|
|
Image Classification (Q)
|
97% |
3974
741.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4903
79.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6718
108.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7128
115.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
28115
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30035
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28612
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4684
371.5 IPS |
|
|
Object Detection (HP)
|
100% |
5088
403.6 IPS |
|
|
Object Detection (Q)
|
91% |
4353
347.8 IPS |
|
|
Face Detection (SP)
|
100% |
12858
152.8 IPS |
|
|
Face Detection (HP)
|
100% |
16293
193.6 IPS |
|
|
Face Detection (Q)
|
100% |
11912
141.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20455
157.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22181
170.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
19465
152.2 IPS |
|
|
Style Transfer (SP)
|
100% |
57446
73.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67541
86.8 IPS |
|
|
Style Transfer (Q)
|
96% |
63720
82.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11460
423.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12423
458.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10151
374.8 IPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5409
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5489
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1942
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2052
35.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2058
35.6 IPS |
