iPad14,8
Geekbench AI Score
3459
Single Precision Score
5953
Half Precision Score
4830
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
2483
461.8 IPS |
|
|
Image Classification (Q)
|
96% |
1741
325.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2817
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6902
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14962
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12936
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.2 IPS |
|
|
Object Detection (HP)
|
97% |
2879
229.2 IPS |
|
|
Object Detection (Q)
|
94% |
2075
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6151
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
3536
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5678
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11701
90.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7982
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18806
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28493
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23744
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4061
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4980
183.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3599
132.9 IPS |
|
|
Text Classification (SP)
|
100% |
2207
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3672
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3787
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3586
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5732
99.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5754
99.4 IPS |
