iPad Pro 13-inch (M4)
Geekbench AI Score
4935
Single Precision Score
7954
Half Precision Score
6395
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 07:27 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 | iPad16,6 |
| 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% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
3368
626.4 IPS |
|
|
Image Classification (Q)
|
96% |
2307
430.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2580
41.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3191
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9967
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19434
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16462
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2430
192.7 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4235
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
7615
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4383
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8490
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14042
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9878
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23483
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38384
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31447
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5965
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7205
266.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4999
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3851
5.14 KIPS |
|
|
Text Classification (HP)
|
99% |
6661
8.89 KIPS |
|
|
Text Classification (Q)
|
93% |
6459
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4549
78.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8011
138.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7974
137.8 IPS |
