iPad Pro 13-inch (M4)
Geekbench AI Score
4979
Single Precision Score
8033
Half Precision Score
6194
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 02:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2091
388.9 IPS |
|
|
Image Classification (HP)
|
100% |
3367
626.2 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3200
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3556
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10059
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19495
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16644
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.3 IPS |
|
|
Object Detection (HP)
|
97% |
3800
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2703
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
4301
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7683
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4413
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8524
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14120
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9950
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24543
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38683
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31761
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6054
223.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7068
261.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4932
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3438
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
6005
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5662
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4522
77.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7876
136.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5763
99.6 IPS |
