iPad Pro 11-inch (M4)
Geekbench AI Score
9513
Single Precision Score
11225
Half Precision Score
10254
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 08:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
4410
820.2 IPS |
|
|
Image Classification (HP)
|
100% |
4831
898.4 IPS |
|
|
Image Classification (Q)
|
96% |
4513
842.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7140
115.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7916
128.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7600
123.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27701
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29749
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29374
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4538
360.0 IPS |
|
|
Object Detection (HP)
|
100% |
5168
409.9 IPS |
|
|
Object Detection (Q)
|
92% |
4745
378.7 IPS |
|
|
Face Detection (SP)
|
100% |
12683
150.7 IPS |
|
|
Face Detection (HP)
|
100% |
16608
197.3 IPS |
|
|
Face Detection (Q)
|
100% |
13384
159.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20488
157.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21786
167.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20169
157.5 IPS |
|
|
Style Transfer (SP)
|
100% |
57082
73.4 IPS |
|
|
Style Transfer (HP)
|
100% |
65880
84.7 IPS |
|
|
Style Transfer (Q)
|
96% |
64105
82.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11587
427.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11537
426.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10297
380.2 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5485
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5498
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3023
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3582
61.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2745
47.4 IPS |
