iPad (9th generation)
Geekbench AI Score
1626
Single Precision Score
2694
Half Precision Score
2250
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | NuclearNotebook |
| Upload Date | August 18 2024 07:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
761
141.6 IPS |
|
|
Image Classification (HP)
|
100% |
1146
213.2 IPS |
|
|
Image Classification (Q)
|
99% |
1147
213.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
778
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3625
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
6641
7.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
5789
6.78 IPS |
|
|
Object Detection (SP)
|
100% |
680
53.9 IPS |
|
|
Object Detection (HP)
|
97% |
1305
103.9 IPS |
|
|
Object Detection (Q)
|
94% |
1003
80.0 IPS |
|
|
Face Detection (SP)
|
100% |
1358
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
2643
31.4 IPS |
|
|
Face Detection (Q)
|
100% |
1649
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2985
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4874
37.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
2537
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7460
9.59 IPS |
|
|
Style Transfer (HP)
|
100% |
13529
17.4 IPS |
|
|
Style Transfer (Q)
|
100% |
13165
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2068
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2640
97.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2092
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2390
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2359
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2392
41.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2369
40.9 IPS |
