iPad Pro 13-inch (M4)
Geekbench AI Score
4935
Single Precision Score
8066
Half Precision Score
6410
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | randymassey |
| Upload Date | October 05 2025 08:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2093
389.3 IPS |
|
|
Image Classification (HP)
|
100% |
3370
626.7 IPS |
|
|
Image Classification (Q)
|
96% |
2294
428.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3246
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3493
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9993
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19485
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16634
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.4 IPS |
|
|
Object Detection (HP)
|
97% |
3815
303.7 IPS |
|
|
Object Detection (Q)
|
94% |
2680
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
4220
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7642
90.8 IPS |
|
|
Face Detection (Q)
|
100% |
4384
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8495
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14037
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9843
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24409
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38689
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31749
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6049
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7228
266.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5050
186.5 IPS |
|
|
Text Classification (SP)
|
100% |
3272
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5959
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5917
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4582
78.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8021
138.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8011
138.4 IPS |
