iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5101
Single Precision Score
5915
Half Precision Score
5525
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | gmn17 |
| Upload Date | July 15 2025 04:38 AM |
| Views | 6 |
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 | iPad13,9 |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
1996
371.3 IPS |
|
|
Image Classification (Q)
|
96% |
1956
365.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3966
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4204
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4062
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16951
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18813
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18167
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2642
209.5 IPS |
|
|
Object Detection (HP)
|
100% |
2690
213.4 IPS |
|
|
Object Detection (Q)
|
92% |
2434
194.3 IPS |
|
|
Face Detection (SP)
|
100% |
6681
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
8522
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
6959
82.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12245
94.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13948
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
13089
102.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28554
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34120
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
34126
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6368
235.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7321
270.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6092
224.9 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3990
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1036
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
999
17.3 IPS |
