iPad Pro 13-inch (M4)
Geekbench AI Score
9517
Single Precision Score
11013
Half Precision Score
9944
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 09:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4394
817.1 IPS |
|
|
Image Classification (HP)
|
100% |
4949
920.4 IPS |
|
|
Image Classification (Q)
|
96% |
4364
814.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7156
116.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7981
129.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7653
124.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27162
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30987
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30143
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4589
364.0 IPS |
|
|
Object Detection (HP)
|
100% |
5134
407.3 IPS |
|
|
Object Detection (Q)
|
92% |
4734
377.9 IPS |
|
|
Face Detection (SP)
|
100% |
12639
150.2 IPS |
|
|
Face Detection (HP)
|
100% |
16691
198.3 IPS |
|
|
Face Detection (Q)
|
100% |
13372
158.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20061
154.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22279
171.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
20366
159.1 IPS |
|
|
Style Transfer (SP)
|
100% |
56191
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67516
86.8 IPS |
|
|
Style Transfer (Q)
|
96% |
66137
85.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11157
412.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11401
421.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10163
375.3 IPS |
|
|
Text Classification (SP)
|
100% |
3161
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5487
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5509
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3098
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2661
45.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1968
34.0 IPS |
