iPad Pro 13-inch (M4)
Geekbench AI Score
6460
Single Precision Score
8184
Half Precision Score
7567
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | July 31 2025 10:24 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 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% |
3472
645.6 IPS |
|
|
Image Classification (HP)
|
100% |
3927
730.4 IPS |
|
|
Image Classification (Q)
|
96% |
3554
663.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5590
90.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6236
101.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6088
98.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12260
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14331
16.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14149
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2736
217.1 IPS |
|
|
Object Detection (HP)
|
100% |
3848
305.2 IPS |
|
|
Object Detection (Q)
|
92% |
3303
263.6 IPS |
|
|
Face Detection (SP)
|
100% |
11191
133.0 IPS |
|
|
Face Detection (HP)
|
100% |
12277
145.9 IPS |
|
|
Face Detection (Q)
|
100% |
12846
152.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14310
110.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17289
133.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
15464
120.8 IPS |
|
|
Style Transfer (SP)
|
100% |
34746
44.7 IPS |
|
|
Style Transfer (HP)
|
100% |
67081
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
47011
60.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11210
413.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11556
426.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8568
316.4 IPS |
|
|
Text Classification (SP)
|
100% |
1907
2.55 KIPS |
|
|
Text Classification (HP)
|
99% |
3182
4.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3166
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1636
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1907
32.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2404
41.5 IPS |
