iPad Pro 13-inch (M4)
Geekbench AI Score
9996
Single Precision Score
11855
Half Precision Score
11040
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | stevemops |
| Upload Date | October 17 2025 04:26 PM |
| 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 | iPad16,6 |
| 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% |
4535
843.3 IPS |
|
|
Image Classification (HP)
|
100% |
4974
925.0 IPS |
|
|
Image Classification (Q)
|
96% |
4461
833.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7091
115.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7961
129.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7726
125.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27197
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31008
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30095
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4588
363.9 IPS |
|
|
Object Detection (HP)
|
100% |
5162
409.5 IPS |
|
|
Object Detection (Q)
|
92% |
4808
383.8 IPS |
|
|
Face Detection (SP)
|
100% |
12465
148.1 IPS |
|
|
Face Detection (HP)
|
100% |
16611
197.4 IPS |
|
|
Face Detection (Q)
|
100% |
13313
158.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19916
153.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22280
171.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
20270
158.3 IPS |
|
|
Style Transfer (SP)
|
100% |
55695
71.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67127
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65351
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11395
420.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11584
427.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10250
378.5 IPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5703
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5680
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4912
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5275
90.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5256
90.8 IPS |
