iPad16,1
Geekbench AI Score
4010
Single Precision Score
6856
Half Precision Score
5609
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | JohnnySun |
| Upload Date | October 31 2024 05:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1750
325.5 IPS |
|
|
Image Classification (HP)
|
100% |
2886
536.7 IPS |
|
|
Image Classification (Q)
|
96% |
2004
374.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1667
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3117
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7947
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
16093
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14012
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1784
141.5 IPS |
|
|
Object Detection (HP)
|
97% |
3356
267.2 IPS |
|
|
Object Detection (Q)
|
94% |
2364
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3406
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
7040
83.6 IPS |
|
|
Face Detection (Q)
|
100% |
3934
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7031
54.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13595
105.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9271
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20915
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32234
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27221
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4873
179.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5818
214.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4422
163.3 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5511
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5467
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6191
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6216
107.4 IPS |
