iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4841
Single Precision Score
5752
Half Precision Score
5025
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 07 2024 10:45 PM |
| Views | 17 |
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% |
2267
421.6 IPS |
|
|
Image Classification (HP)
|
100% |
2083
387.3 IPS |
|
|
Image Classification (Q)
|
97% |
1894
353.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2657
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3625
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3582
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16795
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18545
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
17218
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2697
213.9 IPS |
|
|
Object Detection (HP)
|
100% |
2817
223.4 IPS |
|
|
Object Detection (Q)
|
91% |
2236
178.7 IPS |
|
|
Face Detection (SP)
|
100% |
6782
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
8393
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
5861
69.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12228
94.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13819
106.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
11689
91.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27989
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35059
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31407
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6329
233.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7474
276.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5290
195.3 IPS |
|
|
Text Classification (SP)
|
100% |
2102
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3986
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3990
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
866
15.0 IPS |
