iPad16,3
Geekbench AI Score
3290
Single Precision Score
19111
Half Precision Score
22116
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | roobarb! |
| Upload Date | August 29 2024 07:53 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1637
304.4 IPS |
|
|
Image Classification (HP)
|
100% |
9522
1.77 KIPS |
|
|
Image Classification (Q)
|
99% |
9927
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6854
111.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
6855
111.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9708
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
107508
125.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
181654
213.1 IPS |
|
|
Object Detection (SP)
|
100% |
1851
146.8 IPS |
|
|
Object Detection (HP)
|
100% |
12161
964.6 IPS |
|
|
Object Detection (Q)
|
93% |
14301
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
14989
178.1 IPS |
|
|
Face Detection (Q)
|
100% |
19461
231.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5751
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
62824
484.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
69008
533.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14900
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
159709
205.3 IPS |
|
|
Style Transfer (Q)
|
100% |
159985
205.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4872
179.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23396
863.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
34223
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
1872
2.50 KIPS |
|
|
Text Classification (HP)
|
71% |
7195
10.3 KIPS |
|
|
Text Classification (Q)
|
69% |
7113
10.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
2236
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3010
51.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3028
52.3 IPS |
