iPad Pro 11-inch (M4)
Geekbench AI Score
4816
Single Precision Score
7902
Half Precision Score
6322
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 03:59 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2072
385.4 IPS |
|
|
Image Classification (HP)
|
100% |
3353
623.5 IPS |
|
|
Image Classification (Q)
|
96% |
2310
431.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2175
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3209
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3560
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9898
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19394
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16625
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2403
190.6 IPS |
|
|
Object Detection (HP)
|
97% |
3797
302.3 IPS |
|
|
Object Detection (Q)
|
94% |
2687
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
4293
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7679
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4394
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8611
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14528
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10134
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21420
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38137
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31440
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6032
222.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7262
268.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5081
187.6 IPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5452
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5511
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4430
76.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7119
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7086
122.5 IPS |
