iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3238
Single Precision Score
5472
Half Precision Score
4468
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | tokris |
| Upload Date | August 07 2025 01:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1404
261.2 IPS |
|
|
Image Classification (HP)
|
100% |
2218
412.4 IPS |
|
|
Image Classification (Q)
|
96% |
1574
294.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1371
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2156
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2500
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6489
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14198
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12201
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.1 IPS |
|
|
Object Detection (HP)
|
97% |
2415
192.3 IPS |
|
|
Object Detection (Q)
|
94% |
1778
141.7 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5392
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3145
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5654
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10373
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7350
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16945
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26888
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22319
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3729
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4760
175.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3527
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
4305
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4291
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2598
44.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4764
82.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4767
82.4 IPS |
