iPad14,6
Geekbench AI Score
3476
Single Precision Score
5963
Half Precision Score
4835
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ProGoDawg |
| Upload Date | December 04 2024 03:36 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
2530
470.5 IPS |
|
|
Image Classification (Q)
|
96% |
1774
331.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2862
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6897
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14913
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12711
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2881
229.3 IPS |
|
|
Object Detection (Q)
|
94% |
2086
166.3 IPS |
|
|
Face Detection (SP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6229
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
3561
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5692
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11581
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8008
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18870
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28584
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23814
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4064
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4831
178.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3598
132.8 IPS |
|
|
Text Classification (SP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3706
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3553
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5736
99.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5731
99.0 IPS |
