iPad Pro 11-inch (M4)
Geekbench AI Score
4776
Single Precision Score
7886
Half Precision Score
6313
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 07:52 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, 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% |
2088
388.4 IPS |
|
|
Image Classification (HP)
|
100% |
3423
636.5 IPS |
|
|
Image Classification (Q)
|
96% |
2354
439.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3238
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3590
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9922
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18978
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16430
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2429
192.7 IPS |
|
|
Object Detection (HP)
|
97% |
3811
303.4 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
3707
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
7077
84.1 IPS |
|
|
Face Detection (Q)
|
100% |
4159
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8293
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13664
105.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9443
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22007
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38131
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31551
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5877
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7134
263.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4878
180.1 IPS |
|
|
Text Classification (SP)
|
100% |
3285
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5824
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5816
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4367
75.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7582
131.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7650
132.2 IPS |
