iPad Pro 13-inch (M4)
Geekbench AI Score
10045
Single Precision Score
11907
Half Precision Score
10314
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 07:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4526
841.8 IPS |
|
|
Image Classification (HP)
|
100% |
5006
930.9 IPS |
|
|
Image Classification (Q)
|
96% |
4449
830.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7106
115.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7982
129.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7756
125.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27094
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31001
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30147
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4625
366.9 IPS |
|
|
Object Detection (HP)
|
100% |
5232
415.0 IPS |
|
|
Object Detection (Q)
|
92% |
4803
383.4 IPS |
|
|
Face Detection (SP)
|
100% |
12750
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
16889
200.7 IPS |
|
|
Face Detection (Q)
|
100% |
13483
160.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20147
155.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22206
171.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20305
158.6 IPS |
|
|
Style Transfer (SP)
|
100% |
55926
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
67174
86.4 IPS |
|
|
Style Transfer (Q)
|
96% |
65318
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11381
420.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11694
431.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10522
388.5 IPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5682
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5682
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4873
83.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5282
91.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2551
44.1 IPS |
