iPad Pro 11-inch (M4)
Geekbench AI Score
4738
Single Precision Score
7867
Half Precision Score
6310
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | i0ntempest |
| Upload Date | March 14 2025 12:52 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
3357
624.2 IPS |
|
|
Image Classification (Q)
|
96% |
2340
437.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3385
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3663
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10070
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19093
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16475
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2253
178.7 IPS |
|
|
Object Detection (HP)
|
97% |
3802
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2702
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
4003
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7782
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
4467
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8321
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14670
113.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10199
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25111
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37962
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31402
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5852
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6804
251.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4893
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
3056
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5471
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5479
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6831
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6846
118.3 IPS |
