iPad14,8
Geekbench AI Score
5693
Single Precision Score
5810
Half Precision Score
1958
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 08 2024 05:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2843
528.7 IPS |
|
|
Image Classification (HP)
|
100% |
2891
537.7 IPS |
|
|
Image Classification (Q)
|
97% |
2216
413.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3813
61.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4559
73.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4495
72.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22273
26.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
23714
27.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
21495
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
3220
255.4 IPS |
|
|
Object Detection (HP)
|
100% |
3070
243.5 IPS |
|
|
Object Detection (Q)
|
92% |
2464
196.7 IPS |
|
|
Face Detection (SP)
|
100% |
9354
111.1 IPS |
|
|
Face Detection (HP)
|
100% |
10570
125.6 IPS |
|
|
Face Detection (Q)
|
100% |
7277
86.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15295
117.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16392
126.3 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
101.8 IPS |
|
|
Style Transfer (SP)
|
100% |
38207
49.1 IPS |
|
|
Style Transfer (HP)
|
100% |
43594
56.0 IPS |
|
|
Style Transfer (Q)
|
96% |
41060
53.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7825
289.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8356
308.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6377
235.5 IPS |
|
|
Text Classification (SP)
|
100% |
1189
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
793
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1041
18.0 IPS |
