iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5157
Single Precision Score
5939
Half Precision Score
5564
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 09:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2072
385.4 IPS |
|
|
Image Classification (HP)
|
100% |
2081
387.0 IPS |
|
|
Image Classification (Q)
|
96% |
1988
371.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4009
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4242
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4099
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17023
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18903
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18256
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2683
212.8 IPS |
|
|
Object Detection (HP)
|
100% |
2710
215.0 IPS |
|
|
Object Detection (Q)
|
92% |
2470
197.2 IPS |
|
|
Face Detection (SP)
|
100% |
6768
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
8503
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
7088
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12316
94.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13964
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
12860
100.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28909
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34211
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
34356
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6496
239.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7412
273.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6148
227.0 IPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3909
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3931
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
991
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1024
17.7 IPS |
