iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3448
Single Precision Score
5951
Half Precision Score
4818
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 10:20 PM |
| Views | 1 |
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% |
1376
255.9 IPS |
|
|
Image Classification (HP)
|
100% |
2483
461.7 IPS |
|
|
Image Classification (Q)
|
96% |
1732
323.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2818
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6893
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
15024
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12998
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2876
229.0 IPS |
|
|
Object Detection (Q)
|
94% |
2085
166.2 IPS |
|
|
Face Detection (SP)
|
100% |
3167
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6237
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
3554
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5706
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11659
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8000
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18845
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28503
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23787
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4031
148.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4833
178.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3617
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
2192
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3752
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3618
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3518
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5679
98.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5765
99.6 IPS |
