iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3202
Single Precision Score
15643
Half Precision Score
15401
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 02:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1406
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
5914
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
5846
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9667
156.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10002
162.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6477
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
68587
80.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66781
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
99% |
7246
576.4 IPS |
|
|
Object Detection (Q)
|
91% |
6726
537.4 IPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16432
195.3 IPS |
|
|
Face Detection (Q)
|
100% |
15178
180.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5659
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47225
363.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
47526
371.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16944
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120209
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
114904
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3679
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23283
859.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23742
876.7 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4065
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4010
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2515
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3499
60.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3623
62.6 IPS |
