iPad Pro 11-inch (M4)
Geekbench AI Score
4690
Single Precision Score
7860
Half Precision Score
6302
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iPhil |
| Upload Date | March 22 2025 01:54 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2000
371.9 IPS |
|
|
Image Classification (HP)
|
100% |
3319
617.3 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3127
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3502
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9370
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19064
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16262
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2330
184.9 IPS |
|
|
Object Detection (HP)
|
97% |
3575
284.6 IPS |
|
|
Object Detection (Q)
|
94% |
2646
210.9 IPS |
|
|
Face Detection (SP)
|
100% |
4060
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
7334
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
4292
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8540
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14458
111.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10102
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20708
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38591
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31682
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6060
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7256
267.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5061
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5809
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5655
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4401
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7378
127.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7339
126.8 IPS |
