iPad14,8
Geekbench AI Score
3442
Single Precision Score
5942
Half Precision Score
4802
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 07:12 AM |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1376
255.9 IPS |
|
|
Image Classification (HP)
|
100% |
2484
461.9 IPS |
|
|
Image Classification (Q)
|
96% |
1730
323.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2490
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2813
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6859
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14848
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12710
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2878
229.2 IPS |
|
|
Object Detection (Q)
|
94% |
2072
165.1 IPS |
|
|
Face Detection (SP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6168
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
3553
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5644
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11533
89.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7995
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18808
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28581
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23721
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4063
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4807
177.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3608
133.2 IPS |
|
|
Text Classification (SP)
|
100% |
2156
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3755
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3731
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5664
97.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5614
97.0 IPS |
