iPad16,3
Geekbench AI Score
4729
Single Precision Score
36350
Half Precision Score
51186
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 07:46 AM |
| Views | 1 |
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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
16917
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
24576
4.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22051
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30444
493.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10088
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123507
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232516
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2226
176.6 IPS |
|
|
Object Detection (HP)
|
100% |
18333
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25619
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3997
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
42933
510.1 IPS |
|
|
Face Detection (Q)
|
100% |
63241
751.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8337
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98356
757.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
167761
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25167
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233346
300.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297222
383.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5878
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49189
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83598
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6039
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5873
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3946
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16295
280.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17894
309.2 IPS |
