iPad Pro 11-inch (M4)
Geekbench AI Score
8715
Single Precision Score
10363
Half Precision Score
9388
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 11:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4502
837.2 IPS |
|
|
Image Classification (HP)
|
100% |
4814
895.3 IPS |
|
|
Image Classification (Q)
|
97% |
4208
785.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4936
80.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6706
108.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7156
116.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28234
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30066
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28644
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4767
378.1 IPS |
|
|
Object Detection (HP)
|
100% |
5204
412.8 IPS |
|
|
Object Detection (Q)
|
91% |
4425
353.5 IPS |
|
|
Face Detection (SP)
|
100% |
12851
152.7 IPS |
|
|
Face Detection (HP)
|
100% |
16461
195.6 IPS |
|
|
Face Detection (Q)
|
100% |
12010
142.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20471
157.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22401
172.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
19345
151.2 IPS |
|
|
Style Transfer (SP)
|
100% |
58520
75.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67781
87.1 IPS |
|
|
Style Transfer (Q)
|
96% |
63828
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11634
429.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12674
468.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10298
380.3 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5625
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5552
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1645
28.4 IPS |
