iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4863
Single Precision Score
5597
Half Precision Score
4974
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 04 2024 04:45 PM |
| Views | 3 |
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% |
2188
406.9 IPS |
|
|
Image Classification (HP)
|
100% |
1926
358.3 IPS |
|
|
Image Classification (Q)
|
97% |
1835
342.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2701
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3612
58.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3677
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16728
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18253
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17046
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2697
214.0 IPS |
|
|
Object Detection (HP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (Q)
|
91% |
2190
175.0 IPS |
|
|
Face Detection (SP)
|
100% |
6791
80.7 IPS |
|
|
Face Detection (HP)
|
100% |
8398
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
6014
71.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12066
93.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13544
104.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11292
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28792
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35131
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32621
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6230
230.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7060
260.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5353
197.7 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3719
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3729
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
833
14.4 IPS |
