iPad14,8
Geekbench AI Score
5732
Single Precision Score
6363
Half Precision Score
5827
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2884
536.3 IPS |
|
|
Image Classification (HP)
|
100% |
2766
514.4 IPS |
|
|
Image Classification (Q)
|
97% |
2185
407.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3834
62.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4560
73.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4501
73.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22155
25.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
23666
27.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
21663
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
100% |
2996
237.7 IPS |
|
|
Object Detection (Q)
|
91% |
2421
193.5 IPS |
|
|
Face Detection (SP)
|
100% |
8711
103.5 IPS |
|
|
Face Detection (HP)
|
100% |
9835
116.9 IPS |
|
|
Face Detection (Q)
|
100% |
7449
88.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15060
116.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15575
120.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12154
95.0 IPS |
|
|
Style Transfer (SP)
|
100% |
38226
49.1 IPS |
|
|
Style Transfer (HP)
|
100% |
43680
56.2 IPS |
|
|
Style Transfer (Q)
|
96% |
40676
52.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7997
295.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7010
258.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6345
234.3 IPS |
|
|
Text Classification (SP)
|
100% |
2197
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3659
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1024
17.7 IPS |
