iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4326
Single Precision Score
4647
Half Precision Score
1591
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 13 2024 11:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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% |
1481
275.5 IPS |
|
|
Image Classification (HP)
|
100% |
1690
314.3 IPS |
|
|
Image Classification (Q)
|
97% |
1452
271.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2633
42.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3502
56.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3506
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16604
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17857
20.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
15982
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2546
201.9 IPS |
|
|
Object Detection (HP)
|
100% |
2600
206.2 IPS |
|
|
Object Detection (Q)
|
92% |
2104
168.0 IPS |
|
|
Face Detection (SP)
|
100% |
6254
74.3 IPS |
|
|
Face Detection (HP)
|
100% |
7829
93.0 IPS |
|
|
Face Detection (Q)
|
100% |
5390
64.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11951
92.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13478
103.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27951
35.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33055
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31151
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6146
226.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6929
255.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5451
201.3 IPS |
|
|
Text Classification (SP)
|
100% |
1262
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
822
1.10 KIPS |
|
|
Text Classification (Q)
|
93% |
815
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
818
14.1 IPS |
