iPad (9th generation)
Geekbench AI Score
664
Single Precision Score
271
Half Precision Score
168
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 07:19 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPad (9th generation) |
| Model ID | iPad12,1 |
| Motherboard | J181AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
315
58.7 IPS |
|
|
Image Classification (HP)
|
100% |
379
70.5 IPS |
|
|
Image Classification (Q)
|
99% |
374
69.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.60 IPS |
|
|
Image Segmentation (Q)
|
100% |
351
5.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
2362
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3193
3.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
1274
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (HP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (Q)
|
94% |
297
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
2457
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (Q)
|
100% |
374
4.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
2220
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3131
24.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
3105
24.0 IPS |
|
|
Style Transfer (SP)
|
26% |
320
7.60 IPS |
|
|
Style Transfer (HP)
|
30% |
725
10.9 IPS |
|
|
Style Transfer (Q)
|
30% |
724
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
933
34.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
989
36.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
450
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
254
339.2 IPS |
|
|
Text Classification (HP)
|
0
|
||
|
Text Classification (Q)
|
0
|
||
|
Machine Translation (SP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (HP)
|
0
|
||
|
Machine Translation (Q)
|
0
|
