iPad (6th generation)
Geekbench AI Score
422
Single Precision Score
20
Half Precision Score
27
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Bustycat |
| Upload Date | August 18 2024 09:33 AM |
| Views | 1 |
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% |
233
43.3 IPS |
|
|
Image Classification (HP)
|
100% |
9
1.71 IPS |
|
|
Image Classification (Q)
|
99% |
9
1.62 IPS |
|
|
Image Segmentation (SP)
|
100% |
219
3.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
12
0.19 IPS |
|
|
Image Segmentation (Q)
|
100% |
12
0.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
887
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14
0.02 IPS |
|
|
Pose Estimation (Q)
|
95% |
13
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
99% |
9
0.68 IPS |
|
|
Object Detection (Q)
|
93% |
8
0.67 IPS |
|
|
Face Detection (SP)
|
100% |
479
5.70 IPS |
|
|
Face Detection (HP)
|
100% |
30
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% |
465
3.60 IPS |
|
|
Style Transfer (SP)
|
100% |
1586
2.04 IPS |
|
|
Style Transfer (HP)
|
100% |
44
0.06 IPS |
|
|
Style Transfer (Q)
|
100% |
44
0.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
511
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9
0.33 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9
0.33 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.4 IPS |
|
|
Text Classification (HP)
|
100% |
181
241.4 IPS |
|
|
Text Classification (Q)
|
93% |
181
242.7 IPS |
|
|
Machine Translation (SP)
|
100% |
393
6.77 IPS |
|
|
Machine Translation (HP)
|
96% |
23
0.39 IPS |
|
|
Machine Translation (Q)
|
98% |
23
0.39 IPS |
