iPad (8th generation)
Geekbench AI Score
630
Single Precision Score
761
Half Precision Score
286
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | andreadandrea |
| Upload Date | January 04 2025 11:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
222
41.2 IPS |
|
|
Image Classification (HP)
|
100% |
260
48.4 IPS |
|
|
Image Classification (Q)
|
96% |
138
25.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
210
3.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
177
2.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
1580
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2192
2.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
667
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (HP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (Q)
|
92% |
157
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
1868
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
2179
25.9 IPS |
|
|
Face Detection (Q)
|
100% |
263
3.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
1366
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2145
16.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
418
3.27 IPS |
|
|
Style Transfer (SP)
|
100% |
4499
5.78 IPS |
|
|
Style Transfer (HP)
|
100% |
5590
7.19 IPS |
|
|
Style Transfer (Q)
|
96% |
1447
1.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
294
10.9 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.9 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.1 IPS |
|
|
Text Classification (Q)
|
93% |
200
267.8 IPS |
|
|
Machine Translation (SP)
|
100% |
181
3.13 IPS |
|
|
Machine Translation (HP)
|
100% |
158
2.73 IPS |
|
|
Machine Translation (Q)
|
98% |
157
2.71 IPS |
