iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5132
Single Precision Score
5920
Half Precision Score
5579
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | jmvioque |
| Upload Date | July 02 2025 06:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| 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% |
2034
378.2 IPS |
|
|
Image Classification (HP)
|
100% |
2016
374.9 IPS |
|
|
Image Classification (Q)
|
96% |
2169
405.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4009
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4235
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4065
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16806
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18813
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18111
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2704
214.4 IPS |
|
|
Object Detection (HP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (Q)
|
92% |
2446
195.2 IPS |
|
|
Face Detection (SP)
|
100% |
6784
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
8518
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
7051
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12247
94.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13930
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
12787
99.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29173
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35229
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
34031
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6350
234.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7331
270.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6155
227.3 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3984
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3955
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1003
17.3 IPS |
