iPad Pro 13-inch (M4)
Geekbench AI Score
4358
Single Precision Score
11543
Half Precision Score
4758
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 09:41 PM |
| 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 | iPad16,5 |
| 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% |
4669
868.3 IPS |
|
|
Image Classification (HP)
|
100% |
4482
833.4 IPS |
|
|
Image Classification (Q)
|
96% |
4611
861.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7093
115.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8162
132.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7834
127.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27374
31.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
27883
32.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
30104
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4523
358.8 IPS |
|
|
Object Detection (HP)
|
100% |
5384
427.0 IPS |
|
|
Object Detection (Q)
|
92% |
4767
380.5 IPS |
|
|
Face Detection (SP)
|
100% |
12683
150.7 IPS |
|
|
Face Detection (HP)
|
100% |
17060
202.7 IPS |
|
|
Face Detection (Q)
|
100% |
13595
161.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20938
161.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23144
178.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
21690
169.4 IPS |
|
|
Style Transfer (SP)
|
100% |
57039
73.3 IPS |
|
|
Style Transfer (HP)
|
100% |
68214
87.7 IPS |
|
|
Style Transfer (Q)
|
96% |
62234
80.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12064
445.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11663
430.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10971
405.1 IPS |
|
|
Text Classification (SP)
|
100% |
3299
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5880
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5705
7.66 KIPS |
|
|
Machine Translation (SP)
|
0
|
||
|
Machine Translation (HP)
|
100% |
4142
71.3 IPS |
|
|
Machine Translation (Q)
|
0
|
