iPad14,4
Geekbench AI Score
6227
Single Precision Score
6426
Half Precision Score
2164
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | September 06 2024 11:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3569
663.8 IPS |
|
|
Image Classification (HP)
|
100% |
3364
625.6 IPS |
|
|
Image Classification (Q)
|
97% |
2588
483.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3985
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4922
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4828
78.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24036
28.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
25857
30.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
23554
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
3515
278.8 IPS |
|
|
Object Detection (HP)
|
100% |
3550
281.6 IPS |
|
|
Object Detection (Q)
|
92% |
2767
220.9 IPS |
|
|
Face Detection (SP)
|
100% |
9773
116.1 IPS |
|
|
Face Detection (HP)
|
100% |
11210
133.2 IPS |
|
|
Face Detection (Q)
|
100% |
7711
91.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16517
127.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17575
135.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
108.1 IPS |
|
|
Style Transfer (SP)
|
100% |
41523
53.4 IPS |
|
|
Style Transfer (HP)
|
100% |
48028
61.7 IPS |
|
|
Style Transfer (Q)
|
96% |
45020
58.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9447
348.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10081
372.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7824
288.9 IPS |
|
|
Text Classification (SP)
|
100% |
1189
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
798
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
794
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1288
22.3 IPS |
