iPad Pro 11-inch (M4)
Geekbench AI Score
4870
Single Precision Score
7983
Half Precision Score
6414
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 26 2025 11:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2111
392.6 IPS |
|
|
Image Classification (HP)
|
100% |
3346
622.3 IPS |
|
|
Image Classification (Q)
|
96% |
2363
441.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3217
52.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3677
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10024
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19513
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16699
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (HP)
|
97% |
3791
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2722
216.9 IPS |
|
|
Face Detection (SP)
|
100% |
4380
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
7839
93.1 IPS |
|
|
Face Detection (Q)
|
100% |
4513
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8663
66.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14686
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10291
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21956
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38757
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31975
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6093
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7270
268.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5050
186.5 IPS |
|
|
Text Classification (SP)
|
100% |
3009
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5712
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5612
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4433
76.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7128
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7098
122.7 IPS |
