iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5227
Single Precision Score
6016
Half Precision Score
5520
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 30 2025 01:11 AM |
| Views | 4 |
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% |
2352
437.4 IPS |
|
|
Image Classification (HP)
|
100% |
2179
405.2 IPS |
|
|
Image Classification (Q)
|
96% |
1880
351.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3992
64.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4262
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4091
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16956
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19191
22.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
18173
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2643
209.7 IPS |
|
|
Object Detection (HP)
|
100% |
2682
212.7 IPS |
|
|
Object Detection (Q)
|
92% |
2450
195.6 IPS |
|
|
Face Detection (SP)
|
100% |
6772
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
8458
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
7057
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12378
95.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13887
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
12655
98.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28499
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35251
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33273
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6287
232.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7156
264.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5963
220.2 IPS |
|
|
Text Classification (SP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4225
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4203
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1031
17.8 IPS |
