iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3460
Single Precision Score
5981
Half Precision Score
5202
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | jaw3000 |
| Upload Date | August 15 2024 05:44 PM |
| Views | 7 |
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% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
2537
471.8 IPS |
|
|
Image Classification (Q)
|
99% |
2514
468.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2458
39.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2444
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6830
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
14770
17.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12517
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1533
121.6 IPS |
|
|
Object Detection (HP)
|
97% |
2875
228.9 IPS |
|
|
Object Detection (Q)
|
94% |
2075
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
3092
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6036
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3502
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5602
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11595
89.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
11602
89.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18858
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28983
37.3 IPS |
|
|
Style Transfer (Q)
|
100% |
28952
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4163
153.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4971
183.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3556
131.7 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3785
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3770
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3646
62.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5800
100.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5768
99.7 IPS |
