iPad Pro 11-inch (M4)
Geekbench AI Score
4717
Single Precision Score
7831
Half Precision Score
6234
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 10:44 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, 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% |
2015
374.7 IPS |
|
|
Image Classification (HP)
|
100% |
3358
624.5 IPS |
|
|
Image Classification (Q)
|
96% |
2303
430.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3293
53.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3573
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10018
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19070
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16461
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2242
177.8 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2698
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
4005
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7760
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4413
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8314
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14683
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10171
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25062
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37894
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31322
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5823
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6905
255.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4852
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
2991
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5229
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5181
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3943
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6931
119.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6866
118.7 IPS |
