iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3226
Single Precision Score
5410
Half Precision Score
4430
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 11:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
2214
411.8 IPS |
|
|
Image Classification (Q)
|
96% |
1576
294.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2530
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6481
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14249
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12214
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
97% |
2400
191.1 IPS |
|
|
Object Detection (Q)
|
94% |
1772
141.2 IPS |
|
|
Face Detection (SP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5418
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3167
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5668
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10423
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7366
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16968
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26961
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22330
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3681
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4615
170.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3525
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
2404
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4056
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3947
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2559
44.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4667
80.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4659
80.5 IPS |
