iPad16,3
Geekbench AI Score
7872
Single Precision Score
9118
Half Precision Score
8059
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 13 2024 04:27 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4178
777.0 IPS |
|
|
Image Classification (HP)
|
100% |
4518
840.2 IPS |
|
|
Image Classification (Q)
|
99% |
4106
765.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4573
74.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6378
103.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
6251
101.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27670
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29958
35.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
27564
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
4452
353.2 IPS |
|
|
Object Detection (HP)
|
100% |
4918
390.1 IPS |
|
|
Object Detection (Q)
|
92% |
3890
310.5 IPS |
|
|
Face Detection (SP)
|
100% |
11871
141.0 IPS |
|
|
Face Detection (HP)
|
100% |
15116
179.6 IPS |
|
|
Face Detection (Q)
|
100% |
10919
129.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19589
150.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22328
172.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
22180
171.5 IPS |
|
|
Style Transfer (SP)
|
100% |
56828
73.1 IPS |
|
|
Style Transfer (HP)
|
100% |
67116
86.3 IPS |
|
|
Style Transfer (Q)
|
100% |
66493
85.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11245
415.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12433
459.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9775
362.2 IPS |
|
|
Text Classification (SP)
|
100% |
1591
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1648
2.20 KIPS |
|
|
Text Classification (Q)
|
93% |
1248
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1644
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2017
34.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2138
36.9 IPS |
