iPad14,8
Geekbench AI Score
3448
Single Precision Score
5922
Half Precision Score
4796
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:15 PM |
| 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% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
2505
465.9 IPS |
|
|
Image Classification (Q)
|
96% |
1737
324.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2833
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6898
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14970
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12733
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2867
228.3 IPS |
|
|
Object Detection (Q)
|
94% |
2069
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
3122
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6160
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3548
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5714
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11630
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8000
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18871
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28531
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23895
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4088
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4823
178.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3585
132.4 IPS |
|
|
Text Classification (SP)
|
100% |
2173
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3614
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3601
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5692
98.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5681
98.2 IPS |
