iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3004
Single Precision Score
4564
Half Precision Score
3783
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | DragonLand |
| Upload Date | August 16 2024 08:14 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 15.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
1787
332.3 IPS |
|
|
Image Classification (Q)
|
99% |
1776
331.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1163
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1186
19.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1185
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5651
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13979
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11979
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1438
114.1 IPS |
|
|
Object Detection (HP)
|
97% |
2139
170.3 IPS |
|
|
Object Detection (Q)
|
94% |
1647
131.3 IPS |
|
|
Face Detection (SP)
|
100% |
2528
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
4028
47.9 IPS |
|
|
Face Detection (Q)
|
100% |
2690
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4925
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8068
62.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
3849
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15813
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26762
34.4 IPS |
|
|
Style Transfer (Q)
|
100% |
26816
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3590
132.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4809
177.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3541
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
3538
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2851
49.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4172
72.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4162
71.9 IPS |
