iPad14,8
Geekbench AI Score
3209
Single Precision Score
4727
Half Precision Score
4058
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 01:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1506
280.0 IPS |
|
|
Image Classification (HP)
|
100% |
1926
358.1 IPS |
|
|
Image Classification (Q)
|
96% |
1444
269.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1843
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6101
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
14498
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12430
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.9 IPS |
|
|
Object Detection (HP)
|
97% |
2264
180.2 IPS |
|
|
Object Detection (Q)
|
94% |
1730
137.9 IPS |
|
|
Face Detection (SP)
|
100% |
2879
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
4471
53.1 IPS |
|
|
Face Detection (Q)
|
100% |
2891
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5375
41.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
8596
66.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6430
50.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17421
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26956
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22617
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3618
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4716
174.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3573
131.9 IPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3092
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3127
4.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2760
47.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4516
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4505
77.9 IPS |
