iPad Pro 11-inch (M4)
Geekbench AI Score
9467
Single Precision Score
11389
Half Precision Score
10185
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | albertoyan |
| Upload Date | May 04 2025 04:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
4416
821.3 IPS |
|
|
Image Classification (HP)
|
100% |
4804
893.4 IPS |
|
|
Image Classification (Q)
|
96% |
4505
841.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7170
116.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7946
128.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7708
125.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27754
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29899
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
29136
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
4548
360.8 IPS |
|
|
Object Detection (HP)
|
100% |
5139
407.6 IPS |
|
|
Object Detection (Q)
|
92% |
4724
377.1 IPS |
|
|
Face Detection (SP)
|
100% |
12699
150.9 IPS |
|
|
Face Detection (HP)
|
100% |
16541
196.5 IPS |
|
|
Face Detection (Q)
|
100% |
13304
158.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20387
157.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22404
172.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
20662
161.6 IPS |
|
|
Style Transfer (SP)
|
100% |
56576
72.7 IPS |
|
|
Style Transfer (HP)
|
100% |
66897
86.0 IPS |
|
|
Style Transfer (Q)
|
96% |
64730
83.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11533
425.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12674
468.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10998
406.1 IPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5407
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5350
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2904
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3687
63.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2401
41.5 IPS |
