iPad (8th generation)
Geekbench AI Score
501
Single Precision Score
2086
Half Precision Score
211
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | andreadandrea |
| Upload Date | January 04 2025 11:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad (8th generation) |
| Model ID | iPad11,6 |
| Motherboard | J171aAP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
2036
378.6 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (Q)
|
99% |
194
3.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
1063
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
23757
27.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
828
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (HP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (Q)
|
94% |
197
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
639
7.59 IPS |
|
|
Face Detection (HP)
|
100% |
5221
62.0 IPS |
|
|
Face Detection (Q)
|
0
|
||
|
Depth Estimation (SP)
|
100% |
719
5.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
18449
142.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
468
3.66 IPS |
|
|
Style Transfer (SP)
|
100% |
1822
2.34 IPS |
|
|
Style Transfer (HP)
|
100% |
1813
2.33 IPS |
|
|
Style Transfer (Q)
|
96% |
1487
1.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
553
20.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3471
128.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
489
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
270
360.4 IPS |
|
|
Text Classification (HP)
|
100% |
301
401.7 IPS |
|
|
Text Classification (Q)
|
93% |
300
403.1 IPS |
|
|
Machine Translation (SP)
|
100% |
428
7.36 IPS |
|
|
Machine Translation (HP)
|
100% |
326
5.62 IPS |
|
|
Machine Translation (Q)
|
98% |
323
5.59 IPS |
