iPad (9th generation)
Geekbench AI Score
1179
Single Precision Score
3586
Half Precision Score
741
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 06:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
541
100.6 IPS |
|
|
Image Classification (HP)
|
100% |
2728
507.4 IPS |
|
|
Image Classification (Q)
|
97% |
276
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
485
7.86 IPS |
|
|
Image Segmentation (Q)
|
99% |
306
4.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
3175
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
29244
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3546
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (HP)
|
100% |
2426
192.4 IPS |
|
|
Object Detection (Q)
|
94% |
292
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
1136
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
6996
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
387
4.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
1972
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23582
181.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
1065
8.32 IPS |
|
|
Style Transfer (SP)
|
100% |
5272
6.78 IPS |
|
|
Style Transfer (HP)
|
100% |
10783
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4634
5.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4378
161.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
634
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
458
611.5 IPS |
|
|
Text Classification (Q)
|
93% |
454
609.2 IPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1046
18.1 IPS |
