iPad (9th generation)
Geekbench AI Score
1133
Single Precision Score
3556
Half Precision Score
733
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | paz_levi |
| Upload Date | August 19 2025 01:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
543
100.9 IPS |
|
|
Image Classification (HP)
|
100% |
2754
512.2 IPS |
|
|
Image Classification (Q)
|
97% |
276
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
431
6.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
489
7.93 IPS |
|
|
Image Segmentation (Q)
|
99% |
310
5.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
3274
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
29437
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
3552
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
568
45.1 IPS |
|
|
Object Detection (HP)
|
100% |
2509
199.0 IPS |
|
|
Object Detection (Q)
|
94% |
292
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
1127
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
7193
85.5 IPS |
|
|
Face Detection (Q)
|
100% |
387
4.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1240
9.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
20397
157.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
961
7.51 IPS |
|
|
Style Transfer (SP)
|
100% |
5072
6.52 IPS |
|
|
Style Transfer (HP)
|
100% |
10434
13.4 IPS |
|
|
Style Transfer (Q)
|
96% |
4502
5.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4335
160.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
634
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
461
615.6 IPS |
|
|
Text Classification (Q)
|
93% |
458
614.4 IPS |
|
|
Machine Translation (SP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1065
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1049
18.1 IPS |
