iPad Pro 13-inch (M4)
Geekbench AI Score
10140
Single Precision Score
11944
Half Precision Score
10510
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 07:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
4557
847.5 IPS |
|
|
Image Classification (HP)
|
100% |
5103
949.1 IPS |
|
|
Image Classification (Q)
|
96% |
4411
823.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7070
114.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7970
129.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7698
124.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27311
31.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31174
36.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
30333
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
4693
372.3 IPS |
|
|
Object Detection (HP)
|
100% |
5310
421.2 IPS |
|
|
Object Detection (Q)
|
92% |
4892
390.5 IPS |
|
|
Face Detection (SP)
|
100% |
12721
151.1 IPS |
|
|
Face Detection (HP)
|
100% |
16925
201.1 IPS |
|
|
Face Detection (Q)
|
100% |
13603
161.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20271
156.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22560
173.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20672
161.5 IPS |
|
|
Style Transfer (SP)
|
100% |
56446
72.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67575
86.9 IPS |
|
|
Style Transfer (Q)
|
96% |
65409
84.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11541
426.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11932
440.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10285
379.8 IPS |
|
|
Text Classification (SP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (HP)
|
99% |
5716
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5914
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4875
84.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4991
86.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2919
50.4 IPS |
