iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4850
Single Precision Score
5676
Half Precision Score
4996
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | December 05 2024 10:33 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1968
365.9 IPS |
|
|
Image Classification (HP)
|
100% |
2012
374.1 IPS |
|
|
Image Classification (Q)
|
97% |
1919
358.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2698
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3631
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3698
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16930
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18299
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16847
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2719
215.7 IPS |
|
|
Object Detection (HP)
|
100% |
2727
216.3 IPS |
|
|
Object Detection (Q)
|
91% |
2181
174.3 IPS |
|
|
Face Detection (SP)
|
100% |
6837
81.2 IPS |
|
|
Face Detection (HP)
|
100% |
8510
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
5749
68.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12192
93.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13714
105.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11357
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28393
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34820
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32177
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6395
236.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7020
259.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5414
199.9 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3946
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
828
14.3 IPS |
