iPad Pro 13-inch (M4)
Geekbench AI Score
4989
Single Precision Score
8042
Half Precision Score
6449
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 08:19 AM |
| Views | 3 |
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, 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% |
2124
394.9 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.6 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3196
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3560
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10040
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19490
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16667
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
97% |
3815
303.7 IPS |
|
|
Object Detection (Q)
|
94% |
2716
216.5 IPS |
|
|
Face Detection (SP)
|
100% |
4305
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7710
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4421
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8524
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14153
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9951
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24407
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38842
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31885
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6063
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7135
263.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4992
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3390
4.53 KIPS |
|
|
Text Classification (HP)
|
99% |
5750
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5910
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4585
79.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8117
140.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8027
138.7 IPS |
