iPad16,3
Geekbench AI Score
8992
Single Precision Score
10752
Half Precision Score
7874
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | alpha_p |
| Upload Date | August 17 2024 08:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4552
846.5 IPS |
|
|
Image Classification (HP)
|
100% |
4878
907.2 IPS |
|
|
Image Classification (Q)
|
99% |
4516
842.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4874
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6686
108.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
6689
108.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
28248
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30037
35.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
27697
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
4774
378.7 IPS |
|
|
Object Detection (HP)
|
100% |
5217
413.8 IPS |
|
|
Object Detection (Q)
|
91% |
4139
330.7 IPS |
|
|
Face Detection (SP)
|
100% |
12856
152.8 IPS |
|
|
Face Detection (HP)
|
100% |
16287
193.5 IPS |
|
|
Face Detection (Q)
|
100% |
11599
137.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20304
156.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22386
172.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
3453
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
57507
73.9 IPS |
|
|
Style Transfer (HP)
|
100% |
67868
87.2 IPS |
|
|
Style Transfer (Q)
|
100% |
67793
87.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11681
431.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12777
471.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9707
359.6 IPS |
|
|
Text Classification (SP)
|
100% |
3480
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
6221
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6097
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1895
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2055
35.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1647
28.5 IPS |
