iPad Pro 11-inch (M4)
Geekbench AI Score
4944
Single Precision Score
8031
Half Precision Score
6416
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 02 2025 06:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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% |
2117
393.7 IPS |
|
|
Image Classification (HP)
|
100% |
3404
633.1 IPS |
|
|
Image Classification (Q)
|
96% |
2362
441.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3231
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3552
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10005
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19480
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16653
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.4 IPS |
|
|
Object Detection (HP)
|
97% |
3832
305.0 IPS |
|
|
Object Detection (Q)
|
94% |
2704
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
4249
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7664
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
4395
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8498
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14059
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9878
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24241
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38633
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31652
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6026
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7280
268.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5032
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5627
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5622
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4529
78.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7982
137.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8060
139.3 IPS |
