iPad16,3
Geekbench AI Score
4703
Single Precision Score
36390
Half Precision Score
53315
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 12 2024 05:38 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.39 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1999
371.7 IPS |
|
|
Image Classification (HP)
|
100% |
17740
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
28229
5.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22119
358.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30748
498.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10037
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123095
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232559
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2239
177.6 IPS |
|
|
Object Detection (HP)
|
100% |
18519
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26292
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3975
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
42409
503.9 IPS |
|
|
Face Detection (Q)
|
100% |
62534
743.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8293
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99963
770.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
167808
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25074
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
236821
304.4 IPS |
|
|
Style Transfer (Q)
|
96% |
297863
384.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5839
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48261
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83354
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5799
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
7544
10.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
3905
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16206
279.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17790
307.4 IPS |
