iPad Pro 13-inch (M4)
Geekbench AI Score
4952
Single Precision Score
8019
Half Precision Score
6430
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2128
395.8 IPS |
|
|
Image Classification (HP)
|
100% |
3386
629.6 IPS |
|
|
Image Classification (Q)
|
96% |
2349
438.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3188
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3539
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10067
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19518
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16653
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4283
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7676
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4395
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8513
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14062
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9889
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24336
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38776
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31785
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6103
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7170
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5031
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
3248
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5697
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5760
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4559
78.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8015
138.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8078
139.6 IPS |
