iPad Pro 11-inch (M4)
Geekbench AI Score
4792
Single Precision Score
7599
Half Precision Score
6200
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 05:34 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% |
1979
368.0 IPS |
|
|
Image Classification (HP)
|
100% |
3221
598.9 IPS |
|
|
Image Classification (Q)
|
96% |
2288
427.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3115
50.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3328
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9075
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17849
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15810
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2410
191.2 IPS |
|
|
Object Detection (HP)
|
97% |
3474
276.6 IPS |
|
|
Object Detection (Q)
|
94% |
2657
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
4073
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
6502
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
4261
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8433
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13585
105.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9756
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23416
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36670
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29349
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5909
218.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7206
266.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4912
181.4 IPS |
|
|
Text Classification (SP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5903
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5765
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4498
77.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7497
129.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7598
131.3 IPS |
