iPad14,6
Geekbench AI Score
6297
Single Precision Score
6468
Half Precision Score
5787
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | DFW |
| Upload Date | September 02 2024 06:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3710
690.0 IPS |
|
|
Image Classification (HP)
|
100% |
3451
641.8 IPS |
|
|
Image Classification (Q)
|
99% |
3080
574.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3966
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4898
79.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
4780
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24560
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26317
30.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
23474
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
3541
280.8 IPS |
|
|
Object Detection (HP)
|
100% |
3583
284.2 IPS |
|
|
Object Detection (Q)
|
92% |
2833
226.1 IPS |
|
|
Face Detection (SP)
|
100% |
9742
115.8 IPS |
|
|
Face Detection (HP)
|
100% |
11217
133.3 IPS |
|
|
Face Detection (Q)
|
100% |
7670
91.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16555
127.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18502
142.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
17712
137.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42126
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48290
62.1 IPS |
|
|
Style Transfer (Q)
|
100% |
47993
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9502
350.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10127
373.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8250
305.6 IPS |
|
|
Text Classification (SP)
|
100% |
1210
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
790
1.05 KIPS |
|
|
Text Classification (Q)
|
93% |
787
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1017
17.6 IPS |
