iPad (9th generation)
Geekbench AI Score
907
Single Precision Score
1113
Half Precision Score
503
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 03:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
284
52.7 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.1 IPS |
|
|
Image Classification (Q)
|
97% |
239
44.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (Q)
|
99% |
344
5.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
2369
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3200
3.73 IPS |
|
|
Pose Estimation (Q)
|
95% |
1302
1.53 IPS |
|
|
Object Detection (SP)
|
100% |
621
49.2 IPS |
|
|
Object Detection (HP)
|
100% |
655
51.9 IPS |
|
|
Object Detection (Q)
|
94% |
300
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
2560
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
3420
40.6 IPS |
|
|
Face Detection (Q)
|
100% |
390
4.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
2493
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3493
26.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1037
8.10 IPS |
|
|
Style Transfer (SP)
|
100% |
6148
7.90 IPS |
|
|
Style Transfer (HP)
|
100% |
8565
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2070
2.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1192
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1304
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
458
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
228
304.4 IPS |
|
|
Text Classification (HP)
|
100% |
403
537.9 IPS |
|
|
Text Classification (Q)
|
93% |
397
532.7 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (HP)
|
100% |
216
3.73 IPS |
|
|
Machine Translation (Q)
|
98% |
216
3.73 IPS |
