iPad14,9
Geekbench AI Score
3438
Single Precision Score
5907
Half Precision Score
4795
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dudleynyc |
| Upload Date | October 09 2024 04:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPad14,9 |
| Model ID | iPad14,9 |
| Motherboard | J508AP |
| 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% |
2494
463.9 IPS |
|
|
Image Classification (Q)
|
96% |
1734
323.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2427
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2823
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6828
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
14849
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12820
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
97% |
2862
227.8 IPS |
|
|
Object Detection (Q)
|
94% |
2065
164.6 IPS |
|
|
Face Detection (SP)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6181
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3527
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5624
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11614
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7967
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18961
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28398
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23614
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4048
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4831
178.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3590
132.5 IPS |
|
|
Text Classification (SP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3590
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3652
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3576
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5689
98.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5708
98.6 IPS |
