iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5169
Single Precision Score
5904
Half Precision Score
5494
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 01:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2124
394.9 IPS |
|
|
Image Classification (HP)
|
100% |
2007
373.2 IPS |
|
|
Image Classification (Q)
|
96% |
1900
354.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3991
64.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4213
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4070
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17196
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18783
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17736
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.9 IPS |
|
|
Object Detection (HP)
|
100% |
2709
214.9 IPS |
|
|
Object Detection (Q)
|
92% |
2451
195.7 IPS |
|
|
Face Detection (SP)
|
100% |
6790
80.7 IPS |
|
|
Face Detection (HP)
|
100% |
8470
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
7010
83.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12262
94.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13859
106.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12711
99.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28855
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34766
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33712
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6398
236.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7167
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6074
224.3 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4010
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3982
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1026
17.7 IPS |
