iPad Pro 13-inch (M4)
Geekbench AI Score
1378
Single Precision Score
2357
Half Precision Score
2089
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | July 09 2025 08:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1759
327.1 IPS |
|
|
Image Classification (HP)
|
100% |
2928
544.6 IPS |
|
|
Image Classification (Q)
|
96% |
2204
411.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2844
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3236
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8322
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
17045
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13853
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (HP)
|
97% |
3635
289.4 IPS |
|
|
Object Detection (Q)
|
94% |
1914
152.5 IPS |
|
|
Face Detection (SP)
|
100% |
768
9.13 IPS |
|
|
Face Detection (HP)
|
100% |
1347
16.0 IPS |
|
|
Face Detection (Q)
|
100% |
900
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
851
6.55 IPS |
|
|
Depth Estimation (HP)
|
97% |
1460
11.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
1189
9.28 IPS |
|
|
Style Transfer (SP)
|
100% |
2627
3.38 IPS |
|
|
Style Transfer (HP)
|
100% |
3086
3.97 IPS |
|
|
Style Transfer (Q)
|
96% |
2902
3.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
524
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
713
26.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1136
41.9 IPS |
|
|
Text Classification (SP)
|
100% |
544
726.3 IPS |
|
|
Text Classification (HP)
|
99% |
1771
2.36 KIPS |
|
|
Text Classification (Q)
|
93% |
1783
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1344
23.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1336
23.1 IPS |
