iPad Pro 13-inch (M4)
Geekbench AI Score
10034
Single Precision Score
11876
Half Precision Score
10437
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:08 AM |
| Views | 1 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4523
841.1 IPS |
|
|
Image Classification (HP)
|
100% |
5025
934.5 IPS |
|
|
Image Classification (Q)
|
96% |
4474
835.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7105
115.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7965
129.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7677
124.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27115
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30992
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30176
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4575
362.9 IPS |
|
|
Object Detection (HP)
|
100% |
5262
417.4 IPS |
|
|
Object Detection (Q)
|
92% |
4773
381.0 IPS |
|
|
Face Detection (SP)
|
100% |
12562
149.3 IPS |
|
|
Face Detection (HP)
|
100% |
16753
199.1 IPS |
|
|
Face Detection (Q)
|
100% |
13387
159.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19966
153.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22178
170.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20294
158.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55934
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
67127
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65566
84.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11423
421.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11706
432.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10361
382.6 IPS |
|
|
Text Classification (SP)
|
100% |
3330
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5751
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5742
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4863
83.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5093
87.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2926
50.6 IPS |
