iPad14,4
Geekbench AI Score
3463
Single Precision Score
27355
Half Precision Score
30346
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | December 03 2024 09:26 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1379
256.4 IPS |
|
|
Image Classification (HP)
|
100% |
14336
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
15053
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19069
309.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23729
384.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6881
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
102119
119.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105192
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
99% |
15052
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16998
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3176
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
33100
393.3 IPS |
|
|
Face Detection (Q)
|
100% |
41248
490.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5713
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
84628
652.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
109103
852.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18943
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
201840
259.5 IPS |
|
|
Style Transfer (Q)
|
96% |
187327
241.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4067
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39085
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46698
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2184
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3745
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3588
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3587
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6749
116.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7341
126.9 IPS |
