iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3197
Single Precision Score
5382
Half Precision Score
4399
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Opecory |
| Upload Date | April 18 2025 09:18 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
2207
410.5 IPS |
|
|
Image Classification (Q)
|
96% |
1567
292.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2207
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2504
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6504
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14206
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12196
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
97% |
2406
191.5 IPS |
|
|
Object Detection (Q)
|
94% |
1776
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5400
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3143
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5634
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10408
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7348
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16942
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26925
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22305
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3680
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4579
169.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3516
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3900
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3908
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2518
43.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4539
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4518
78.1 IPS |
