iPad14,4
Geekbench AI Score
3450
Single Precision Score
5925
Half Precision Score
4790
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1376
256.0 IPS |
|
|
Image Classification (HP)
|
100% |
2506
466.1 IPS |
|
|
Image Classification (Q)
|
96% |
1750
326.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2820
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6869
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14663
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12631
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2875
228.8 IPS |
|
|
Object Detection (Q)
|
94% |
2090
166.6 IPS |
|
|
Face Detection (SP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6158
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3544
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5666
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11571
89.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7963
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18879
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28407
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23623
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4077
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4794
177.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3546
130.9 IPS |
|
|
Text Classification (SP)
|
100% |
2203
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3671
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3611
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5776
99.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5723
98.9 IPS |
