iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4862
Single Precision Score
5680
Half Precision Score
5027
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jdklev |
| Upload Date | January 30 2025 05:33 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2049
381.0 IPS |
|
|
Image Classification (HP)
|
100% |
2011
373.9 IPS |
|
|
Image Classification (Q)
|
97% |
1936
361.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2671
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3624
58.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3681
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16903
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18241
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16832
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2724
216.1 IPS |
|
|
Object Detection (HP)
|
100% |
2749
218.1 IPS |
|
|
Object Detection (Q)
|
91% |
2215
177.0 IPS |
|
|
Face Detection (SP)
|
100% |
6828
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
8467
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
5863
69.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12156
93.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13678
105.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
11416
89.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28628
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34264
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32381
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6413
236.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7268
268.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5374
198.4 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3968
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3956
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
843
14.6 IPS |
