iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3231
Single Precision Score
5320
Half Precision Score
4381
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | aswath |
| Upload Date | January 08 2025 05:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1391
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
2181
405.6 IPS |
|
|
Image Classification (Q)
|
96% |
1561
291.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2587
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6531
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13756
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11998
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
97% |
2426
193.1 IPS |
|
|
Object Detection (Q)
|
94% |
1793
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5578
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3208
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5799
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11059
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7665
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17194
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26347
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22045
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3767
139.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4471
165.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3399
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3835
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3858
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3935
68.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4225
73.0 IPS |
