iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4843
Single Precision Score
5643
Half Precision Score
5029
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 25 2024 09:51 AM |
| Views | 1 |
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% |
1921
357.3 IPS |
|
|
Image Classification (HP)
|
100% |
1930
359.0 IPS |
|
|
Image Classification (Q)
|
97% |
1882
351.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2725
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3649
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3712
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16961
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18278
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17230
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2725
216.1 IPS |
|
|
Object Detection (HP)
|
100% |
2738
217.2 IPS |
|
|
Object Detection (Q)
|
91% |
2205
176.2 IPS |
|
|
Face Detection (SP)
|
100% |
6859
81.5 IPS |
|
|
Face Detection (HP)
|
100% |
8405
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
5908
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12248
94.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13825
106.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
11391
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28364
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34021
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32437
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6398
236.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7210
266.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5394
199.2 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3943
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3896
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
851
14.7 IPS |
