iPad Pro 11-inch (M4)
Geekbench AI Score
4868
Single Precision Score
7990
Half Precision Score
6376
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 26 2025 10:39 AM |
| Views | 1 |
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 | iPad16,4 |
| Motherboard | J718AP |
| 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% |
2106
391.6 IPS |
|
|
Image Classification (HP)
|
100% |
3382
628.9 IPS |
|
|
Image Classification (Q)
|
96% |
2344
437.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2245
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3303
53.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3650
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10091
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19535
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16694
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (HP)
|
97% |
3784
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2724
217.1 IPS |
|
|
Face Detection (SP)
|
100% |
4344
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7832
93.1 IPS |
|
|
Face Detection (Q)
|
100% |
4508
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8634
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14668
113.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10288
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21809
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38431
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31760
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6121
226.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7096
262.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5020
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5693
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5427
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4404
75.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7207
124.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7119
123.0 IPS |
