iPad (6th generation)
Geekbench AI Score
430
Single Precision Score
19
Half Precision Score
27
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | frank_m_h_jaeger |
| Upload Date | August 19 2024 05:46 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad (6th generation) |
| Model ID | iPad7,5 |
| Motherboard | J71bAP |
| CPU Information | |
|---|---|
| Name | Apple A10 Fusion |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.32 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
251
46.7 IPS |
|
|
Image Classification (HP)
|
100% |
9
1.75 IPS |
|
|
Image Classification (Q)
|
99% |
9
1.66 IPS |
|
|
Image Segmentation (SP)
|
100% |
220
3.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
12
0.19 IPS |
|
|
Image Segmentation (Q)
|
100% |
12
0.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
901
1.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
13
0.02 IPS |
|
|
Pose Estimation (Q)
|
95% |
13
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (HP)
|
99% |
8
0.67 IPS |
|
|
Object Detection (Q)
|
93% |
8
0.66 IPS |
|
|
Face Detection (SP)
|
100% |
484
5.75 IPS |
|
|
Face Detection (HP)
|
100% |
29
0.35 IPS |
|
|
Face Detection (Q)
|
100% |
28
0.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
593
4.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
20
0.16 IPS |
|
|
Depth Estimation (Q)
|
97% |
455
3.52 IPS |
|
|
Style Transfer (SP)
|
100% |
1627
2.09 IPS |
|
|
Style Transfer (HP)
|
100% |
44
0.06 IPS |
|
|
Style Transfer (Q)
|
100% |
43
0.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9
0.33 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9
0.33 IPS |
|
|
Text Classification (SP)
|
100% |
213
283.9 IPS |
|
|
Text Classification (HP)
|
100% |
178
237.1 IPS |
|
|
Text Classification (Q)
|
93% |
182
244.3 IPS |
|
|
Machine Translation (SP)
|
100% |
389
6.70 IPS |
|
|
Machine Translation (HP)
|
96% |
22
0.39 IPS |
|
|
Machine Translation (Q)
|
98% |
22
0.38 IPS |
