iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3232
Single Precision Score
5309
Half Precision Score
4377
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | October 26 2024 02:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
2169
403.3 IPS |
|
|
Image Classification (Q)
|
96% |
1549
289.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2193
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2564
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6539
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13942
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12035
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
97% |
2436
194.0 IPS |
|
|
Object Detection (Q)
|
94% |
1790
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5554
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
3203
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5809
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11063
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7665
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17194
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26297
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21975
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3761
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4457
164.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3407
125.8 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3882
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3879
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3940
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4240
73.3 IPS |
