iPad Pro 11-inch (M4)
Geekbench AI Score
4883
Single Precision Score
8017
Half Precision Score
6358
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 05:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2052
381.7 IPS |
|
|
Image Classification (HP)
|
100% |
3405
633.3 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3247
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3518
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19462
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16652
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2434
193.0 IPS |
|
|
Object Detection (HP)
|
97% |
3842
305.8 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
4241
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
7625
90.6 IPS |
|
|
Face Detection (Q)
|
100% |
4383
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8499
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14035
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9847
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24360
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39473
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32255
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6022
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7239
267.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5017
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5476
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5344
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4535
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7930
137.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7947
137.3 IPS |
