iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2169
Single Precision Score
11659
Half Precision Score
11481
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cellphonehater |
| Upload Date | April 26 2025 12:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
913
169.9 IPS |
|
|
Image Classification (HP)
|
100% |
4855
902.8 IPS |
|
|
Image Classification (Q)
|
96% |
4441
829.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7558
122.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7889
127.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4270
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
47460
55.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
46945
55.0 IPS |
|
|
Object Detection (SP)
|
100% |
989
78.4 IPS |
|
|
Object Detection (HP)
|
99% |
5235
416.4 IPS |
|
|
Object Detection (Q)
|
91% |
5010
400.3 IPS |
|
|
Face Detection (SP)
|
100% |
2166
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
11616
138.0 IPS |
|
|
Face Detection (Q)
|
100% |
11232
133.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3648
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35747
275.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
36622
286.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11286
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
89757
115.4 IPS |
|
|
Style Transfer (Q)
|
96% |
86450
111.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2484
91.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17942
662.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18062
666.9 IPS |
|
|
Text Classification (SP)
|
100% |
1551
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2664
3.56 KIPS |
|
|
Text Classification (Q)
|
93% |
2635
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1797
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2859
49.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2855
49.3 IPS |
