iPad16,3
Geekbench AI Score
3297
Single Precision Score
18917
Half Precision Score
21850
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | yugene |
| Upload Date | August 17 2024 02:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1651
307.1 IPS |
|
|
Image Classification (HP)
|
100% |
9012
1.68 KIPS |
|
|
Image Classification (Q)
|
99% |
9776
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
959
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6844
110.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
6859
111.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9777
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
107228
125.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
183376
215.1 IPS |
|
|
Object Detection (SP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (HP)
|
100% |
11324
898.2 IPS |
|
|
Object Detection (Q)
|
93% |
14111
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3008
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
16087
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
19394
230.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5767
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
62442
481.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
68045
526.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14969
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
159081
204.5 IPS |
|
|
Style Transfer (Q)
|
100% |
160399
206.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4860
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22413
827.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
33914
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
1864
2.49 KIPS |
|
|
Text Classification (HP)
|
71% |
7321
10.5 KIPS |
|
|
Text Classification (Q)
|
69% |
6531
9.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2258
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2990
51.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3050
52.7 IPS |
