iPad Pro 11-inch (M4)
Geekbench AI Score
4674
Single Precision Score
7844
Half Precision Score
6279
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 09:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1959
364.4 IPS |
|
|
Image Classification (HP)
|
100% |
3324
618.1 IPS |
|
|
Image Classification (Q)
|
96% |
2332
435.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3365
54.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3650
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9947
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18969
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16366
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2196
174.2 IPS |
|
|
Object Detection (HP)
|
97% |
3761
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7704
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4483
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8252
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14592
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10133
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24934
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37910
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31337
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5811
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6766
249.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4850
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
2941
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5631
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5493
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3854
66.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6810
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6691
115.6 IPS |
