iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3484
Single Precision Score
5978
Half Precision Score
4823
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | kirdol |
| Upload Date | December 24 2024 10:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
2553
474.8 IPS |
|
|
Image Classification (Q)
|
96% |
1774
331.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2548
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2867
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6892
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14744
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12728
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2886
229.7 IPS |
|
|
Object Detection (Q)
|
94% |
2074
165.3 IPS |
|
|
Face Detection (SP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6180
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3547
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5628
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11659
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8024
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18852
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28463
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23688
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4068
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4835
178.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3576
132.0 IPS |
|
|
Text Classification (SP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3756
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3722
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3586
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5663
97.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5664
97.9 IPS |
