iPad Pro 11-inch (M4)
Geekbench AI Score
4704
Single Precision Score
7836
Half Precision Score
6273
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Bierre |
| Upload Date | March 09 2025 10:43 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1988
369.6 IPS |
|
|
Image Classification (HP)
|
100% |
3333
619.8 IPS |
|
|
Image Classification (Q)
|
96% |
2334
435.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3310
53.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3639
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10061
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19111
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16498
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2247
178.2 IPS |
|
|
Object Detection (HP)
|
97% |
3803
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2701
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
3964
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7789
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
4469
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8309
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14665
113.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10214
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25204
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38192
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31683
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5853
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6914
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4808
177.5 IPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5263
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5203
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3909
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6863
118.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6892
119.1 IPS |
