iPad Pro 11-inch (M4)
Geekbench AI Score
4974
Single Precision Score
8026
Half Precision Score
6454
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | DeakonFrost |
| Upload Date | September 11 2025 08:45 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2120
394.3 IPS |
|
|
Image Classification (HP)
|
100% |
3396
631.5 IPS |
|
|
Image Classification (Q)
|
96% |
2353
439.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3184
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3537
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10076
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19509
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16666
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (HP)
|
97% |
3826
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2708
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
4282
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7664
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
4380
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8516
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14059
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9870
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24306
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38752
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31773
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6099
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7233
267.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5023
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
3289
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5608
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5975
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4613
79.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8120
140.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8099
140.0 IPS |
