iPad Pro 11-inch (M4)
Geekbench AI Score
4180
Single Precision Score
10704
Half Precision Score
9617
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jdklev |
| Upload Date | February 07 2025 07:51 PM |
| Views | 17 |
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 | iPad16,4 |
| Motherboard | J718AP |
| 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% |
4581
852.0 IPS |
|
|
Image Classification (HP)
|
100% |
5012
932.1 IPS |
|
|
Image Classification (Q)
|
97% |
4262
795.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4856
78.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6809
110.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7201
116.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
28055
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30074
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28606
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4693
372.2 IPS |
|
|
Object Detection (HP)
|
100% |
5246
416.2 IPS |
|
|
Object Detection (Q)
|
91% |
4479
357.9 IPS |
|
|
Face Detection (SP)
|
100% |
12914
153.4 IPS |
|
|
Face Detection (HP)
|
100% |
16565
196.8 IPS |
|
|
Face Detection (Q)
|
100% |
12058
143.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20662
159.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22792
175.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
19485
152.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56034
72.0 IPS |
|
|
Style Transfer (HP)
|
100% |
66710
85.8 IPS |
|
|
Style Transfer (Q)
|
96% |
63009
81.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12323
455.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12850
474.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10408
384.3 IPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5385
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5338
7.16 KIPS |
|
|
Machine Translation (SP)
|
0
|
||
|
Machine Translation (HP)
|
100% |
2106
36.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2094
36.2 IPS |
