iPad (9th generation)
Geekbench AI Score
1190
Single Precision Score
3596
Half Precision Score
742
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Bxckam1422 |
| Upload Date | October 30 2024 01:06 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
546
101.5 IPS |
|
|
Image Classification (HP)
|
100% |
2776
516.2 IPS |
|
|
Image Classification (Q)
|
97% |
276
51.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (Q)
|
99% |
305
4.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
3185
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
29245
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3503
4.10 IPS |
|
|
Object Detection (SP)
|
100% |
569
45.1 IPS |
|
|
Object Detection (HP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (Q)
|
94% |
293
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
1164
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
6952
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
387
4.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1978
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23946
184.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
1081
8.45 IPS |
|
|
Style Transfer (SP)
|
100% |
5480
7.04 IPS |
|
|
Style Transfer (HP)
|
100% |
10839
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4672
6.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1675
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4361
161.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
637
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
464
619.2 IPS |
|
|
Text Classification (Q)
|
93% |
457
613.0 IPS |
|
|
Machine Translation (SP)
|
100% |
826
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1031
17.8 IPS |
