iPad Pro 11-inch (M4)
Geekbench AI Score
4955
Single Precision Score
8081
Half Precision Score
6422
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 10 2025 09:10 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 | iPad16,3 |
| 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% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
3418
635.6 IPS |
|
|
Image Classification (Q)
|
96% |
2312
431.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3199
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3502
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19421
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16639
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.5 IPS |
|
|
Object Detection (HP)
|
97% |
3861
307.4 IPS |
|
|
Object Detection (Q)
|
94% |
2703
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
4279
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
7704
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4401
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8503
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14011
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9832
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24457
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39465
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32237
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6072
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7180
265.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5008
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
3284
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5826
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5753
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4676
80.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8138
140.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8160
141.0 IPS |
