iPad16,3
Geekbench AI Score
4386
Single Precision Score
6317
Half Precision Score
5268
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 15 2024 03:37 AM |
| Views | 18 |
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 | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1883
350.2 IPS |
|
|
Image Classification (HP)
|
100% |
2619
487.1 IPS |
|
|
Image Classification (Q)
|
99% |
2611
487.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1814
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1787
29.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1784
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9714
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18639
21.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
15954
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2088
165.6 IPS |
|
|
Object Detection (HP)
|
97% |
3020
240.4 IPS |
|
|
Object Detection (Q)
|
94% |
2299
183.2 IPS |
|
|
Face Detection (SP)
|
100% |
3516
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
5693
67.6 IPS |
|
|
Face Detection (Q)
|
100% |
3700
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7559
58.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11187
86.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
5763
44.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23638
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35113
45.1 IPS |
|
|
Style Transfer (Q)
|
100% |
35270
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5650
208.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6647
245.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4785
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
3012
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5129
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5234
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3559
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5043
87.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5119
88.5 IPS |
