iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2144
Single Precision Score
12406
Half Precision Score
12661
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | MrMage |
| Upload Date | August 20 2024 07:52 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1077
200.4 IPS |
|
|
Image Classification (HP)
|
100% |
6432
1.20 KIPS |
|
|
Image Classification (Q)
|
99% |
6833
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
688
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4239
68.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
4165
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5756
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
65155
76.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
65743
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1177
93.4 IPS |
|
|
Object Detection (HP)
|
99% |
7190
572.0 IPS |
|
|
Object Detection (Q)
|
93% |
6545
522.2 IPS |
|
|
Face Detection (SP)
|
100% |
2129
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
12458
148.0 IPS |
|
|
Face Detection (Q)
|
100% |
13250
157.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3824
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
43530
335.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
47011
363.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10360
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
117033
150.4 IPS |
|
|
Style Transfer (Q)
|
100% |
123249
158.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2851
105.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17927
662.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20574
762.2 IPS |
|
|
Text Classification (SP)
|
100% |
1272
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2600
3.47 KIPS |
|
|
Text Classification (Q)
|
93% |
2401
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1338
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2286
39.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2280
39.4 IPS |
