iPad Pro 11-inch (M4)
Geekbench AI Score
8865
Single Precision Score
10721
Half Precision Score
9609
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 09:59 AM |
| Views | 1 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4441
825.9 IPS |
|
|
Image Classification (HP)
|
100% |
4872
906.0 IPS |
|
|
Image Classification (Q)
|
97% |
4100
765.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4757
77.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6738
109.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7103
115.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27753
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29807
34.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
28341
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
4608
365.5 IPS |
|
|
Object Detection (HP)
|
100% |
5181
411.0 IPS |
|
|
Object Detection (Q)
|
91% |
4402
351.8 IPS |
|
|
Face Detection (SP)
|
100% |
12573
149.4 IPS |
|
|
Face Detection (HP)
|
100% |
16399
194.9 IPS |
|
|
Face Detection (Q)
|
100% |
11859
140.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20181
155.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22279
171.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
19233
150.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56461
72.6 IPS |
|
|
Style Transfer (HP)
|
100% |
66191
85.1 IPS |
|
|
Style Transfer (Q)
|
96% |
62348
80.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11545
426.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12848
474.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10259
378.8 IPS |
|
|
Text Classification (SP)
|
100% |
3496
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
6116
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6114
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1921
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2083
35.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2071
35.8 IPS |
