iPad14,8
Geekbench AI Score
5828
Single Precision Score
5893
Half Precision Score
1912
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 08 2024 04:35 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2835
527.2 IPS |
|
|
Image Classification (HP)
|
100% |
2879
535.4 IPS |
|
|
Image Classification (Q)
|
97% |
2223
414.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3826
62.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4561
73.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4522
73.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22375
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23705
27.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
21425
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
3122
247.6 IPS |
|
|
Object Detection (HP)
|
100% |
3132
248.4 IPS |
|
|
Object Detection (Q)
|
92% |
2452
195.7 IPS |
|
|
Face Detection (SP)
|
100% |
9345
111.0 IPS |
|
|
Face Detection (HP)
|
100% |
10592
125.9 IPS |
|
|
Face Detection (Q)
|
100% |
7237
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15267
117.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16357
126.0 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
100.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38209
49.1 IPS |
|
|
Style Transfer (HP)
|
100% |
43456
55.9 IPS |
|
|
Style Transfer (Q)
|
96% |
40585
52.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7942
293.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8308
306.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6342
234.2 IPS |
|
|
Text Classification (SP)
|
100% |
1189
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
798
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
792
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
841
14.5 IPS |
