iPad Pro 11-inch (M4)
Geekbench AI Score
4714
Single Precision Score
7875
Half Precision Score
6288
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 09:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1950
362.6 IPS |
|
|
Image Classification (HP)
|
100% |
3347
622.5 IPS |
|
|
Image Classification (Q)
|
96% |
2267
423.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3326
53.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3584
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10001
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19126
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16500
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2244
178.0 IPS |
|
|
Object Detection (HP)
|
97% |
3795
302.1 IPS |
|
|
Object Detection (Q)
|
94% |
2690
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
3941
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
7687
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4433
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8317
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14688
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10188
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25269
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38370
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31615
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5847
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6985
257.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4882
180.3 IPS |
|
|
Text Classification (SP)
|
100% |
3072
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5461
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5508
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3939
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6877
118.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6989
120.8 IPS |
