iPad Pro 11-inch (M4)
Geekbench AI Score
10034
Single Precision Score
11927
Half Precision Score
10958
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 08:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
4542
844.6 IPS |
|
|
Image Classification (HP)
|
100% |
4975
925.2 IPS |
|
|
Image Classification (Q)
|
96% |
4417
824.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7144
115.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7960
129.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7687
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27226
31.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30922
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30152
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4619
366.4 IPS |
|
|
Object Detection (HP)
|
100% |
5244
416.0 IPS |
|
|
Object Detection (Q)
|
92% |
4804
383.5 IPS |
|
|
Face Detection (SP)
|
100% |
12614
149.9 IPS |
|
|
Face Detection (HP)
|
100% |
16809
199.7 IPS |
|
|
Face Detection (Q)
|
100% |
13441
159.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20025
154.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22443
172.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20265
158.3 IPS |
|
|
Style Transfer (SP)
|
100% |
55454
71.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67560
86.8 IPS |
|
|
Style Transfer (Q)
|
96% |
65370
84.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11360
419.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11718
432.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10347
382.1 IPS |
|
|
Text Classification (SP)
|
100% |
3272
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5878
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5952
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4871
83.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5171
89.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4630
80.0 IPS |
