iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3175
Single Precision Score
14195
Half Precision Score
13635
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 01:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
6281
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5914
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6638
107.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6356
103.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6370
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
66829
78.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65836
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.4 IPS |
|
|
Object Detection (HP)
|
99% |
7193
572.2 IPS |
|
|
Object Detection (Q)
|
91% |
5993
478.8 IPS |
|
|
Face Detection (SP)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16054
190.8 IPS |
|
|
Face Detection (Q)
|
100% |
14002
166.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5761
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47218
363.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
47088
368.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17098
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119792
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
114522
147.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3495
129.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22144
817.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23243
858.2 IPS |
|
|
Text Classification (SP)
|
100% |
2200
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3691
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2316
39.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2313
40.0 IPS |
