iPad Pro 11-inch (M4)
Geekbench AI Score
4777
Single Precision Score
7871
Half Precision Score
5797
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 05:36 PM |
| Views | 1 |
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% |
2012
374.2 IPS |
|
|
Image Classification (HP)
|
100% |
3365
625.8 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3156
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3250
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9147
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18337
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13407
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2414
191.5 IPS |
|
|
Object Detection (HP)
|
97% |
3778
300.8 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
4087
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
7214
85.7 IPS |
|
|
Face Detection (Q)
|
100% |
4278
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8419
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13942
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9025
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21940
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38400
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23162
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5913
218.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7189
265.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4326
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5934
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5617
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4521
77.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7538
130.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7498
129.6 IPS |
