iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4871
Single Precision Score
5743
Half Precision Score
4896
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 09 2024 03:52 AM |
| Views | 3 |
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% |
2404
447.0 IPS |
|
|
Image Classification (HP)
|
100% |
2243
417.2 IPS |
|
|
Image Classification (Q)
|
97% |
1924
359.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2217
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3644
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3713
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16813
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18357
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17401
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2797
221.9 IPS |
|
|
Object Detection (HP)
|
100% |
2735
216.9 IPS |
|
|
Object Detection (Q)
|
91% |
2264
180.9 IPS |
|
|
Face Detection (SP)
|
100% |
6817
81.0 IPS |
|
|
Face Detection (HP)
|
100% |
8402
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
4212
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12263
94.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13633
105.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11345
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28784
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34997
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32841
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6349
234.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7123
263.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5368
198.2 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3966
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3943
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
847
14.6 IPS |
