iPad (9th generation)
Geekbench AI Score
1687
Single Precision Score
3084
Half Precision Score
2565
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Zztony |
| Upload Date | July 22 2025 04:02 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
801
149.0 IPS |
|
|
Image Classification (HP)
|
100% |
1360
252.9 IPS |
|
|
Image Classification (Q)
|
96% |
977
182.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1368
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3620
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
6669
7.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
5913
6.93 IPS |
|
|
Object Detection (SP)
|
100% |
717
56.8 IPS |
|
|
Object Detection (HP)
|
97% |
1581
125.9 IPS |
|
|
Object Detection (Q)
|
94% |
1150
91.7 IPS |
|
|
Face Detection (SP)
|
100% |
1615
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1818
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3042
23.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5539
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4109
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7622
9.80 IPS |
|
|
Style Transfer (HP)
|
100% |
14635
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12417
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1875
69.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2531
93.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2064
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
1317
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2214
2.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2190
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3296
57.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3240
56.0 IPS |
