iPad Pro 11-inch (M4)
Geekbench AI Score
4703
Single Precision Score
7869
Half Precision Score
6277
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 06:02 PM |
| Views | 2 |
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, 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% |
1996
371.1 IPS |
|
|
Image Classification (HP)
|
100% |
3362
625.3 IPS |
|
|
Image Classification (Q)
|
96% |
2337
436.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3300
53.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3622
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10112
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19115
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16474
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2251
178.6 IPS |
|
|
Object Detection (HP)
|
97% |
3771
300.2 IPS |
|
|
Object Detection (Q)
|
94% |
2716
216.5 IPS |
|
|
Face Detection (SP)
|
100% |
4003
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7790
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
4467
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7959
61.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14665
113.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10179
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25067
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38074
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31316
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5852
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6910
255.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4853
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5631
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5392
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3881
66.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6733
116.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6732
116.3 IPS |
