iPad Pro 11-inch (M4)
Geekbench AI Score
4966
Single Precision Score
8044
Half Precision Score
6415
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | piotrga |
| Upload Date | September 21 2025 10:01 PM |
| Views | 4 |
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 | iPad16,4 |
| Motherboard | J718AP |
| 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% |
2111
392.6 IPS |
|
|
Image Classification (HP)
|
100% |
3403
632.8 IPS |
|
|
Image Classification (Q)
|
96% |
2346
438.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3173
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3528
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10077
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19484
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16656
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
97% |
3850
306.5 IPS |
|
|
Object Detection (Q)
|
94% |
2697
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
4291
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7665
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
4385
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8536
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14073
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9861
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24306
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38738
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31818
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6074
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7218
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5028
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5775
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5735
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4626
79.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8049
139.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8011
138.4 IPS |
