iPad14,8
Geekbench AI Score
3452
Single Precision Score
5956
Half Precision Score
4828
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 09:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1383
257.2 IPS |
|
|
Image Classification (HP)
|
100% |
2534
471.2 IPS |
|
|
Image Classification (Q)
|
96% |
1763
329.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2844
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6877
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14868
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12741
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2880
229.3 IPS |
|
|
Object Detection (Q)
|
94% |
2081
165.9 IPS |
|
|
Face Detection (SP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6221
73.9 IPS |
|
|
Face Detection (Q)
|
100% |
3554
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5667
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11663
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7997
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18838
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28630
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23791
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4057
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4803
177.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3607
133.2 IPS |
|
|
Text Classification (SP)
|
100% |
2171
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3674
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3692
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5753
99.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5751
99.4 IPS |
