iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3083
Single Precision Score
5133
Half Precision Score
4251
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 09:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
2184
406.2 IPS |
|
|
Image Classification (Q)
|
96% |
1546
288.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2233
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2513
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6537
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13759
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11859
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
97% |
2422
192.8 IPS |
|
|
Object Detection (Q)
|
94% |
1784
142.2 IPS |
|
|
Face Detection (SP)
|
100% |
2902
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
5116
60.8 IPS |
|
|
Face Detection (Q)
|
100% |
2989
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5136
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9989
77.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6951
54.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14423
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23874
30.7 IPS |
|
|
Style Transfer (Q)
|
96% |
20160
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3341
123.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4168
153.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3243
119.8 IPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3612
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4033
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2527
43.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4261
73.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4283
74.0 IPS |
