iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5166
Single Precision Score
6140
Half Precision Score
5564
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 11:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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% |
1977
367.7 IPS |
|
|
Image Classification (HP)
|
100% |
2258
420.0 IPS |
|
|
Image Classification (Q)
|
96% |
1948
363.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3982
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4239
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4097
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16963
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18884
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18119
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2649
210.1 IPS |
|
|
Object Detection (HP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (Q)
|
92% |
2451
195.6 IPS |
|
|
Face Detection (SP)
|
100% |
6799
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
8535
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
7064
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12407
95.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14032
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
12630
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28402
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35154
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
34749
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6327
233.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7159
264.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5969
220.4 IPS |
|
|
Text Classification (SP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4263
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4241
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1024
17.7 IPS |
