iPad (9th generation)
Geekbench AI Score
1674
Single Precision Score
3069
Half Precision Score
2549
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:29 PM |
| Views | 2 |
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% |
802
149.1 IPS |
|
|
Image Classification (HP)
|
100% |
1365
253.8 IPS |
|
|
Image Classification (Q)
|
96% |
975
182.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
782
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1353
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3573
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6566
7.66 IPS |
|
|
Pose Estimation (Q)
|
95% |
5755
6.74 IPS |
|
|
Object Detection (SP)
|
100% |
718
57.0 IPS |
|
|
Object Detection (HP)
|
97% |
1579
125.7 IPS |
|
|
Object Detection (Q)
|
94% |
1148
91.5 IPS |
|
|
Face Detection (SP)
|
100% |
1591
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
3113
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1808
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3001
23.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5501
42.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4090
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7524
9.67 IPS |
|
|
Style Transfer (HP)
|
100% |
14504
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12227
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1896
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2526
93.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2063
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2187
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2179
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3288
56.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3273
56.6 IPS |
