iPad16,3
Geekbench AI Score
4735
Single Precision Score
31175
Half Precision Score
40018
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | asto18089 |
| Upload Date | August 16 2024 04:34 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2030
377.5 IPS |
|
|
Image Classification (HP)
|
100% |
17193
3.20 KIPS |
|
|
Image Classification (Q)
|
99% |
19258
3.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13969
226.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
13981
226.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10036
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
118012
137.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
223888
262.6 IPS |
|
|
Object Detection (SP)
|
100% |
2263
179.5 IPS |
|
|
Object Detection (HP)
|
100% |
16971
1.35 KIPS |
|
|
Object Detection (Q)
|
91% |
25205
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4064
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
26433
314.1 IPS |
|
|
Face Detection (Q)
|
100% |
45582
541.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8327
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
82555
636.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
92187
712.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25193
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
169203
217.5 IPS |
|
|
Style Transfer (Q)
|
100% |
169127
217.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5859
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48684
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
82197
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5967
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
6430
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3910
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16809
289.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18457
319.0 IPS |
