iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5221
Single Precision Score
6085
Half Precision Score
5602
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | tokris |
| Upload Date | August 07 2025 01:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2182
405.9 IPS |
|
|
Image Classification (HP)
|
100% |
2406
447.4 IPS |
|
|
Image Classification (Q)
|
96% |
2107
393.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3995
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4254
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4113
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17236
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18962
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18382
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (HP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (Q)
|
92% |
2431
194.0 IPS |
|
|
Face Detection (SP)
|
100% |
6750
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
8479
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
7015
83.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12352
95.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13959
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
12677
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28540
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34893
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33771
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6200
228.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7144
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5909
218.2 IPS |
|
|
Text Classification (SP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4237
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4244
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1071
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1045
18.1 IPS |
