iPad16,3
Geekbench AI Score
4717
Single Precision Score
7840
Half Precision Score
6289
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 01:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1998
371.5 IPS |
|
|
Image Classification (HP)
|
100% |
3360
624.9 IPS |
|
|
Image Classification (Q)
|
96% |
2342
437.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3313
53.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3639
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10044
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19082
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16455
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2241
177.8 IPS |
|
|
Object Detection (HP)
|
97% |
3806
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2693
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
3951
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7715
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4451
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8316
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14682
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10201
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25054
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37975
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31427
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5820
214.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6878
254.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4832
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5395
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5495
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3894
67.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6800
117.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6770
117.0 IPS |
