iPad16,1
Geekbench AI Score
3935
Single Precision Score
24305
Half Precision Score
33745
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | JohnnySun |
| Upload Date | October 29 2024 02:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1735
322.7 IPS |
|
|
Image Classification (HP)
|
100% |
10425
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
14887
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1647
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12921
209.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16018
259.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7436
8.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
104462
121.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
204137
239.3 IPS |
|
|
Object Detection (SP)
|
100% |
1780
141.2 IPS |
|
|
Object Detection (HP)
|
100% |
13851
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18874
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3350
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
35259
418.9 IPS |
|
|
Face Detection (Q)
|
100% |
50633
601.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6885
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78454
604.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
125748
983.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20174
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204834
263.3 IPS |
|
|
Style Transfer (Q)
|
96% |
252712
326.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4788
176.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34936
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58285
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3184
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3122
4.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3321
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6131
105.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7119
123.0 IPS |
