iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4876
Single Precision Score
5650
Half Precision Score
5041
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 01 2025 01:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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% |
2053
381.7 IPS |
|
|
Image Classification (HP)
|
100% |
1923
357.6 IPS |
|
|
Image Classification (Q)
|
97% |
1982
369.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2709
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3635
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3679
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16921
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18413
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16939
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2732
216.7 IPS |
|
|
Object Detection (HP)
|
100% |
2733
216.8 IPS |
|
|
Object Detection (Q)
|
91% |
2178
174.1 IPS |
|
|
Face Detection (SP)
|
100% |
6763
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
8501
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
5933
70.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12232
94.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13695
105.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
11402
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28798
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33808
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32119
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6397
236.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7213
266.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5466
201.8 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3912
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3913
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
849
14.7 IPS |
