iPad Pro 11-inch (M4)
Geekbench AI Score
4727
Single Precision Score
7892
Half Precision Score
6307
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iKayla |
| Upload Date | February 27 2025 03:34 AM |
| Views | 2 |
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 | iPad16,3 |
| 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% |
2008
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
3357
624.3 IPS |
|
|
Image Classification (Q)
|
96% |
2337
436.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3310
53.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3618
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10089
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19125
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16499
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2251
178.5 IPS |
|
|
Object Detection (HP)
|
97% |
3733
297.2 IPS |
|
|
Object Detection (Q)
|
94% |
2664
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
3938
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
7674
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4429
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8283
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14698
113.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10198
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25031
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37930
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31298
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5883
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6902
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4838
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
3007
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5760
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5661
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3967
68.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6950
120.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6932
119.8 IPS |
