iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3476
Single Precision Score
5971
Half Precision Score
4842
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | andaryjos |
| Upload Date | September 26 2024 09:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.3 IPS |
|
|
Image Classification (Q)
|
96% |
1785
333.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2507
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2872
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6882
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14975
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12803
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2879
229.2 IPS |
|
|
Object Detection (Q)
|
94% |
2092
166.8 IPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6221
73.9 IPS |
|
|
Face Detection (Q)
|
100% |
3555
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5690
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11576
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7980
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18953
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28536
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23734
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4050
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4818
177.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3605
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3744
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3721
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3569
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5689
98.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5719
98.8 IPS |
