iPad Pro 11-inch (M4)
Geekbench AI Score
9448
Single Precision Score
11265
Half Precision Score
10305
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 04:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
4428
823.4 IPS |
|
|
Image Classification (HP)
|
100% |
4825
897.3 IPS |
|
|
Image Classification (Q)
|
96% |
4515
843.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7112
115.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7934
128.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7694
124.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27677
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29764
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29436
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4593
364.3 IPS |
|
|
Object Detection (HP)
|
100% |
5163
409.6 IPS |
|
|
Object Detection (Q)
|
92% |
4761
380.0 IPS |
|
|
Face Detection (SP)
|
100% |
12751
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
16655
197.9 IPS |
|
|
Face Detection (Q)
|
100% |
13429
159.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20505
158.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22040
169.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20216
157.9 IPS |
|
|
Style Transfer (SP)
|
100% |
56969
73.2 IPS |
|
|
Style Transfer (HP)
|
100% |
65700
84.5 IPS |
|
|
Style Transfer (Q)
|
96% |
64035
82.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11646
430.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11689
431.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10357
382.4 IPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5623
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5515
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2784
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3531
60.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2796
48.3 IPS |
