iPad Pro 11-inch (M4)
Geekbench AI Score
10094
Single Precision Score
11985
Half Precision Score
11162
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DmytroVlasenko |
| Upload Date | September 12 2025 01:10 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4583
852.3 IPS |
|
|
Image Classification (HP)
|
100% |
5170
961.5 IPS |
|
|
Image Classification (Q)
|
96% |
4609
860.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7302
118.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7984
129.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7824
126.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27285
31.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31173
36.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
30372
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
4607
365.4 IPS |
|
|
Object Detection (HP)
|
100% |
5298
420.2 IPS |
|
|
Object Detection (Q)
|
92% |
4966
396.4 IPS |
|
|
Face Detection (SP)
|
100% |
12639
150.2 IPS |
|
|
Face Detection (HP)
|
100% |
17099
203.2 IPS |
|
|
Face Detection (Q)
|
100% |
13524
160.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20417
157.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22754
175.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20347
158.9 IPS |
|
|
Style Transfer (SP)
|
100% |
55329
71.1 IPS |
|
|
Style Transfer (HP)
|
100% |
67538
86.8 IPS |
|
|
Style Transfer (Q)
|
96% |
65488
84.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11333
418.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11771
434.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10300
380.3 IPS |
|
|
Text Classification (SP)
|
100% |
3312
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5634
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5670
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4872
83.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5150
88.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5248
90.7 IPS |
