iPad14,4
Geekbench AI Score
2351
Single Precision Score
12123
Half Precision Score
12904
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | August 15 2024 05:29 PM |
| Views | 11 |
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 | 3.49 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% |
7043
1.31 KIPS |
|
|
Image Classification (Q)
|
99% |
7633
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5032
81.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
5151
83.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5984
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
86985
101.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
87298
102.4 IPS |
|
|
Object Detection (SP)
|
100% |
1361
108.0 IPS |
|
|
Object Detection (HP)
|
99% |
8304
660.5 IPS |
|
|
Object Detection (Q)
|
93% |
8706
694.7 IPS |
|
|
Face Detection (SP)
|
100% |
2464
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
11250
133.7 IPS |
|
|
Face Detection (Q)
|
100% |
13458
159.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4132
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48809
376.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
51689
399.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11082
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
137423
176.7 IPS |
|
|
Style Transfer (Q)
|
100% |
137651
177.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3151
116.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18939
699.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24031
890.3 IPS |
|
|
Text Classification (SP)
|
100% |
1189
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
795
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1599
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2343
40.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2342
40.5 IPS |
