iPad (8th generation)
Geekbench AI Score
613
Single Precision Score
749
Half Precision Score
415
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Angus72 |
| Upload Date | August 31 2024 10:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
227
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
258
48.1 IPS |
|
|
Image Classification (Q)
|
99% |
251
46.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
205
3.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.09 IPS |
|
|
Image Segmentation (Q)
|
100% |
254
4.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
1386
1.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1892
2.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
665
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
525
41.6 IPS |
|
|
Object Detection (HP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (Q)
|
92% |
155
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
1833
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
2195
26.1 IPS |
|
|
Face Detection (Q)
|
100% |
254
3.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
1569
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2332
18.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
2231
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3691
4.75 IPS |
|
|
Style Transfer (HP)
|
100% |
4802
6.17 IPS |
|
|
Style Transfer (Q)
|
100% |
4666
6.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
755
27.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1062
39.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
281
10.4 IPS |
|
|
Text Classification (SP)
|
100% |
141
188.7 IPS |
|
|
Text Classification (HP)
|
100% |
203
270.8 IPS |
|
|
Text Classification (Q)
|
93% |
199
267.6 IPS |
|
|
Machine Translation (SP)
|
100% |
196
3.38 IPS |
|
|
Machine Translation (HP)
|
100% |
158
2.72 IPS |
|
|
Machine Translation (Q)
|
98% |
156
2.69 IPS |
