iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4915
Single Precision Score
5659
Half Precision Score
4987
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 15 2024 12:56 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% |
2302
428.2 IPS |
|
|
Image Classification (HP)
|
100% |
1936
360.0 IPS |
|
|
Image Classification (Q)
|
97% |
1856
346.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2697
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3610
58.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3690
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16728
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18422
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16935
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2697
213.9 IPS |
|
|
Object Detection (HP)
|
100% |
2729
216.5 IPS |
|
|
Object Detection (Q)
|
91% |
2201
175.9 IPS |
|
|
Face Detection (SP)
|
100% |
6826
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
8468
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
6038
71.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12143
93.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13613
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
11415
89.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28762
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35001
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31211
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6427
237.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7103
262.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5362
198.0 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3880
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
845
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
834
14.4 IPS |
