iPad Pro 11-inch (M4)
Geekbench AI Score
4276
Single Precision Score
5049
Half Precision Score
4696
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 08:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
4519
840.5 IPS |
|
|
Image Classification (HP)
|
100% |
4945
919.7 IPS |
|
|
Image Classification (Q)
|
96% |
4404
822.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7055
114.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7936
128.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7664
124.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27024
31.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
30962
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30129
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4551
361.0 IPS |
|
|
Object Detection (HP)
|
100% |
5207
413.0 IPS |
|
|
Object Detection (Q)
|
92% |
4782
381.7 IPS |
|
|
Face Detection (SP)
|
100% |
12613
149.9 IPS |
|
|
Face Detection (HP)
|
100% |
16862
200.4 IPS |
|
|
Face Detection (Q)
|
100% |
13476
160.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19939
153.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
21996
169.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
20105
157.0 IPS |
|
|
Style Transfer (SP)
|
100% |
55104
70.8 IPS |
|
|
Style Transfer (HP)
|
100% |
66725
85.8 IPS |
|
|
Style Transfer (Q)
|
96% |
64915
83.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11402
421.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11786
435.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10294
380.1 IPS |
|
|
Text Classification (SP)
|
100% |
3303
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5836
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5931
7.96 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
41.5 IPS |
|
|
Machine Translation (HP)
|
0% |
0
44.8 IPS |
|
|
Machine Translation (Q)
|
0% |
0
40.4 IPS |
