iPad Pro 11-inch (M4)
Geekbench AI Score
4721
Single Precision Score
7836
Half Precision Score
6297
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 01 2025 07:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2030
377.5 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.7 IPS |
|
|
Image Classification (Q)
|
96% |
2340
437.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3346
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3653
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10022
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19079
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16461
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2247
178.3 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2701
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
3963
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7761
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4460
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8312
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14687
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10219
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25012
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37793
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31353
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5816
214.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6856
253.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4816
177.8 IPS |
|
|
Text Classification (SP)
|
100% |
2975
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5334
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5500
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3946
68.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6831
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6819
117.8 IPS |
