iPad Pro 13-inch (M4)
Geekbench AI Score
4920
Single Precision Score
8021
Half Precision Score
6392
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:28 PM |
| 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 | iPad16,5 |
| 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% |
2069
384.9 IPS |
|
|
Image Classification (HP)
|
100% |
3405
633.3 IPS |
|
|
Image Classification (Q)
|
96% |
2294
428.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3190
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3489
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9998
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19453
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16626
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2430
192.8 IPS |
|
|
Object Detection (HP)
|
97% |
3810
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2684
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
4228
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7520
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4358
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8495
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14004
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9831
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24315
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38677
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31726
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6040
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7142
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5050
186.5 IPS |
|
|
Text Classification (SP)
|
100% |
3318
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5836
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5814
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4523
77.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8067
139.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7993
138.1 IPS |
