iPad14,4
Geekbench AI Score
2354
Single Precision Score
12154
Half Precision Score
13491
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | September 06 2024 11:33 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.24 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1254
233.2 IPS |
|
|
Image Classification (HP)
|
100% |
7219
1.34 KIPS |
|
|
Image Classification (Q)
|
96% |
7449
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
756
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5126
83.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8057
130.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5986
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
86561
101.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
88808
104.1 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.7 IPS |
|
|
Object Detection (HP)
|
99% |
8408
668.8 IPS |
|
|
Object Detection (Q)
|
93% |
8688
693.2 IPS |
|
|
Face Detection (SP)
|
100% |
2477
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
11357
134.9 IPS |
|
|
Face Detection (Q)
|
100% |
13098
155.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4122
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
46744
360.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
57200
447.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11077
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
137825
177.2 IPS |
|
|
Style Transfer (Q)
|
95% |
126372
163.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3149
116.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18982
700.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24400
901.0 IPS |
|
|
Text Classification (SP)
|
100% |
1197
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
795
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1597
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2352
40.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2350
40.6 IPS |
