iPad Pro 11-inch (M4)
Geekbench AI Score
9748
Single Precision Score
11605
Half Precision Score
10412
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 23 2025 09:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
4442
826.1 IPS |
|
|
Image Classification (HP)
|
100% |
4796
891.9 IPS |
|
|
Image Classification (Q)
|
96% |
4597
858.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7264
117.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7957
129.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7709
125.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27225
31.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31018
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30228
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4627
367.0 IPS |
|
|
Object Detection (HP)
|
100% |
5195
412.1 IPS |
|
|
Object Detection (Q)
|
92% |
4768
380.6 IPS |
|
|
Face Detection (SP)
|
100% |
12698
150.9 IPS |
|
|
Face Detection (HP)
|
100% |
16661
198.0 IPS |
|
|
Face Detection (Q)
|
100% |
13415
159.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20182
155.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22287
171.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
20479
160.0 IPS |
|
|
Style Transfer (SP)
|
100% |
56382
72.5 IPS |
|
|
Style Transfer (HP)
|
100% |
68364
87.9 IPS |
|
|
Style Transfer (Q)
|
96% |
65891
85.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11332
418.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11757
434.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10338
381.7 IPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5552
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5446
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3965
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4349
74.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2878
49.7 IPS |
