iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5246
Single Precision Score
6036
Half Precision Score
5550
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 09:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,9 |
| Motherboard | J522xAP |
| 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 | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2377
442.0 IPS |
|
|
Image Classification (HP)
|
100% |
2248
418.1 IPS |
|
|
Image Classification (Q)
|
96% |
2061
384.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4016
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4289
69.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4104
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16861
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18879
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18338
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2648
210.1 IPS |
|
|
Object Detection (HP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (Q)
|
92% |
2405
192.0 IPS |
|
|
Face Detection (SP)
|
100% |
6772
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
8478
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
7030
83.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12385
95.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13917
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
12630
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28803
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35298
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33316
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6274
231.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7161
264.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5885
217.3 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4249
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4156
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1029
17.8 IPS |
