iPad16,3
Geekbench AI Score
2304
Single Precision Score
15591
Half Precision Score
20363
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | alpha_p |
| Upload Date | August 15 2024 07:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 3.84 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1549
288.1 IPS |
|
|
Image Classification (HP)
|
100% |
9386
1.75 KIPS |
|
|
Image Classification (Q)
|
99% |
10192
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
869
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6801
110.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
6806
110.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8070
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
107303
125.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
173595
203.6 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (HP)
|
100% |
11277
894.5 IPS |
|
|
Object Detection (Q)
|
93% |
14185
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
2824
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
14500
172.3 IPS |
|
|
Face Detection (Q)
|
100% |
18566
220.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5105
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51109
393.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
67745
523.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10488
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
159837
205.5 IPS |
|
|
Style Transfer (Q)
|
100% |
162077
208.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12057
445.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
32880
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
725
967.4 IPS |
|
|
Text Classification (HP)
|
71% |
3947
5.68 KIPS |
|
|
Text Classification (Q)
|
69% |
4767
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1950
33.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2247
38.8 IPS |
