iPad (8th generation)
Geekbench AI Score
435
Single Precision Score
1917
Half Precision Score
173
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 07:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
265
49.3 IPS |
|
|
Image Classification (HP)
|
100% |
2004
372.8 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (Q)
|
99% |
186
3.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
910
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
24335
28.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
743
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (Q)
|
94% |
189
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
613
7.28 IPS |
|
|
Face Detection (HP)
|
100% |
5192
61.7 IPS |
|
|
Face Detection (Q)
|
0
|
||
|
Depth Estimation (SP)
|
100% |
648
4.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
19408
149.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
404
3.16 IPS |
|
|
Style Transfer (SP)
|
100% |
1542
1.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1573
2.02 IPS |
|
|
Style Transfer (Q)
|
96% |
1348
1.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
503
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3505
129.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
450
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
198
264.6 IPS |
|
|
Text Classification (HP)
|
100% |
238
317.7 IPS |
|
|
Text Classification (Q)
|
93% |
134
179.4 IPS |
|
|
Machine Translation (SP)
|
100% |
273
4.70 IPS |
|
|
Machine Translation (HP)
|
100% |
194
3.35 IPS |
|
|
Machine Translation (Q)
|
98% |
175
3.03 IPS |
