iPad16,3
Geekbench AI Score
4389
Single Precision Score
6306
Half Precision Score
5241
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 10:49 AM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1904
354.1 IPS |
|
|
Image Classification (HP)
|
100% |
2608
484.9 IPS |
|
|
Image Classification (Q)
|
99% |
2620
488.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1815
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1762
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9728
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18657
21.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
15945
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2076
164.6 IPS |
|
|
Object Detection (HP)
|
97% |
3010
239.6 IPS |
|
|
Object Detection (Q)
|
94% |
2284
182.1 IPS |
|
|
Face Detection (SP)
|
100% |
3514
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
5684
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3697
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7570
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11157
86.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
5716
44.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23699
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35093
45.1 IPS |
|
|
Style Transfer (Q)
|
100% |
35113
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5625
207.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6630
244.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4758
176.3 IPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5169
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5272
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5043
87.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5004
86.5 IPS |
