iPad14,4
Geekbench AI Score
3461
Single Precision Score
27153
Half Precision Score
30121
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | cheltenham |
| Upload Date | October 31 2024 11:03 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
14381
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
14495
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18946
307.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23565
382.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6890
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
102987
120.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104662
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.2 IPS |
|
|
Object Detection (HP)
|
99% |
14996
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16776
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3173
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
33207
394.6 IPS |
|
|
Face Detection (Q)
|
100% |
41243
490.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5681
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
84484
650.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
107863
842.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18905
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
200254
257.4 IPS |
|
|
Style Transfer (Q)
|
96% |
188176
242.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4051
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38210
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46007
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
2188
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3666
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3692
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6580
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7210
124.6 IPS |
