iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3204
Single Precision Score
5422
Half Precision Score
4410
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 22 2025 04:57 AM |
| Views | 1 |
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 | iPad13,9 |
| 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% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
2187
406.6 IPS |
|
|
Image Classification (Q)
|
96% |
1548
289.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2188
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2488
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6480
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14141
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12179
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.8 IPS |
|
|
Object Detection (HP)
|
97% |
2392
190.5 IPS |
|
|
Object Detection (Q)
|
94% |
1772
141.2 IPS |
|
|
Face Detection (SP)
|
100% |
2990
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5416
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3143
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5630
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10410
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7348
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16890
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26883
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22284
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3739
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4841
178.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3521
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4059
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4037
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2507
43.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4560
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4578
79.1 IPS |
