iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4832
Single Precision Score
5600
Half Precision Score
4973
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 04 2024 03:52 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% |
2110
392.4 IPS |
|
|
Image Classification (HP)
|
100% |
1977
367.6 IPS |
|
|
Image Classification (Q)
|
97% |
1880
350.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2676
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3611
58.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3685
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16647
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18320
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16802
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
100% |
2693
213.6 IPS |
|
|
Object Detection (Q)
|
91% |
2177
173.9 IPS |
|
|
Face Detection (SP)
|
100% |
6802
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
8297
98.6 IPS |
|
|
Face Detection (Q)
|
100% |
6068
72.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12066
93.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13627
105.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11344
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28732
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34600
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32824
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6327
233.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7062
260.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5195
191.8 IPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3748
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3771
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
825
14.3 IPS |
