iPad Pro 11-inch (M4)
Geekbench AI Score
8809
Single Precision Score
10628
Half Precision Score
9559
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Pressure_P |
| Upload Date | January 03 2025 05:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4430
823.8 IPS |
|
|
Image Classification (HP)
|
100% |
4793
891.4 IPS |
|
|
Image Classification (Q)
|
97% |
4097
764.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4914
79.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6743
109.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7133
115.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
28093
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30040
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28570
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4654
369.1 IPS |
|
|
Object Detection (HP)
|
100% |
5208
413.1 IPS |
|
|
Object Detection (Q)
|
91% |
4428
353.8 IPS |
|
|
Face Detection (SP)
|
100% |
12831
152.5 IPS |
|
|
Face Detection (HP)
|
100% |
16411
195.0 IPS |
|
|
Face Detection (Q)
|
100% |
11997
142.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20213
155.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22154
170.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19172
149.9 IPS |
|
|
Style Transfer (SP)
|
100% |
55694
71.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67210
86.4 IPS |
|
|
Style Transfer (Q)
|
96% |
63259
81.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11834
437.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12930
477.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10205
376.8 IPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5502
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5557
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1977
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2092
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2090
36.1 IPS |
