iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5114
Single Precision Score
5846
Half Precision Score
5480
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | March 19 2025 01:17 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2122
394.6 IPS |
|
|
Image Classification (HP)
|
100% |
1954
363.4 IPS |
|
|
Image Classification (Q)
|
96% |
2008
374.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4006
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4219
68.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4046
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16824
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18260
21.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17538
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (HP)
|
100% |
2711
215.0 IPS |
|
|
Object Detection (Q)
|
92% |
2443
195.0 IPS |
|
|
Face Detection (SP)
|
100% |
6735
80.0 IPS |
|
|
Face Detection (HP)
|
100% |
8456
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
6994
83.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12257
94.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13725
105.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12573
98.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28640
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34443
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33764
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6376
235.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7175
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6056
223.6 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3966
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3941
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
991
17.1 IPS |
