iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4903
Single Precision Score
5647
Half Precision Score
4996
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 04:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2153
400.5 IPS |
|
|
Image Classification (HP)
|
100% |
2033
378.2 IPS |
|
|
Image Classification (Q)
|
97% |
1880
350.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2699
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3616
58.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3672
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16863
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18390
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16957
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2730
216.6 IPS |
|
|
Object Detection (HP)
|
100% |
2721
215.8 IPS |
|
|
Object Detection (Q)
|
91% |
2214
176.9 IPS |
|
|
Face Detection (SP)
|
100% |
6809
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
8370
99.5 IPS |
|
|
Face Detection (Q)
|
100% |
5830
69.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12222
94.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13709
105.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
11338
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28658
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33859
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31850
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6373
235.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7119
262.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5439
200.8 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3809
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3796
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
861
14.9 IPS |
