iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4803
Single Precision Score
5546
Half Precision Score
4979
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 04 2024 03:29 PM |
| 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% |
1849
343.9 IPS |
|
|
Image Classification (HP)
|
100% |
1849
343.8 IPS |
|
|
Image Classification (Q)
|
97% |
1946
363.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2654
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3626
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3682
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17029
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18232
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16850
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2770
219.7 IPS |
|
|
Object Detection (HP)
|
100% |
2692
213.6 IPS |
|
|
Object Detection (Q)
|
91% |
2185
174.6 IPS |
|
|
Face Detection (SP)
|
100% |
6824
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
8341
99.1 IPS |
|
|
Face Detection (Q)
|
100% |
5877
69.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12116
93.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13527
104.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
11306
88.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28586
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34696
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32399
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6352
234.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6918
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5324
196.6 IPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3735
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3720
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
833
14.4 IPS |
