iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3457
Single Precision Score
5931
Half Precision Score
4801
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | KeviNW000 |
| Upload Date | November 10 2024 08:35 PM |
| Views | 4 |
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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1380
256.7 IPS |
|
|
Image Classification (HP)
|
100% |
2516
467.9 IPS |
|
|
Image Classification (Q)
|
96% |
1758
328.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2452
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2826
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6864
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14707
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12624
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2870
228.5 IPS |
|
|
Object Detection (Q)
|
94% |
2066
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
3151
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6152
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
3527
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5694
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11539
89.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7971
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18778
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28291
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23664
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4801
177.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3549
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3777
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3747
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3527
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5682
98.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5680
98.2 IPS |
