iPad16,1
Geekbench AI Score
3919
Single Precision Score
6827
Half Precision Score
5555
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 30 2024 07:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1699
316.1 IPS |
|
|
Image Classification (HP)
|
100% |
2931
545.1 IPS |
|
|
Image Classification (Q)
|
96% |
2040
380.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1634
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2440
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3110
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7661
8.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
15561
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13467
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1747
138.5 IPS |
|
|
Object Detection (HP)
|
97% |
3320
264.3 IPS |
|
|
Object Detection (Q)
|
94% |
2336
186.2 IPS |
|
|
Face Detection (SP)
|
100% |
3289
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
6973
82.9 IPS |
|
|
Face Detection (Q)
|
100% |
3876
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6753
52.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13394
103.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9159
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20611
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31967
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26812
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4753
175.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5815
214.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4341
160.3 IPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5523
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5510
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3301
56.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6214
107.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6163
106.5 IPS |
