iPad Pro 11-inch (M4)
Geekbench AI Score
4945
Single Precision Score
8063
Half Precision Score
6407
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 10:28 PM |
| Views | 5 |
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, 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% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
3402
632.6 IPS |
|
|
Image Classification (Q)
|
96% |
2308
431.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3153
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3499
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10050
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19513
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16633
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
97% |
3841
305.8 IPS |
|
|
Object Detection (Q)
|
94% |
2687
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
4253
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7728
91.8 IPS |
|
|
Face Detection (Q)
|
100% |
4402
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8501
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14037
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9859
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24327
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38679
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31678
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6065
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7205
266.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5008
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
3290
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5837
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5765
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4616
79.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8190
141.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8147
140.8 IPS |
