iPad (9th generation)
Geekbench AI Score
1146
Single Precision Score
3520
Half Precision Score
718
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | LavarierX |
| Upload Date | November 12 2024 12:50 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
549
102.1 IPS |
|
|
Image Classification (HP)
|
100% |
2717
505.3 IPS |
|
|
Image Classification (Q)
|
97% |
276
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
476
7.71 IPS |
|
|
Image Segmentation (Q)
|
99% |
293
4.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
3114
3.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
28067
32.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
3606
4.23 IPS |
|
|
Object Detection (SP)
|
100% |
562
44.6 IPS |
|
|
Object Detection (HP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (Q)
|
94% |
282
22.4 IPS |
|
|
Face Detection (SP)
|
100% |
1071
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
6928
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
373
4.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
1903
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22800
175.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
1008
7.87 IPS |
|
|
Style Transfer (SP)
|
100% |
4873
6.26 IPS |
|
|
Style Transfer (HP)
|
100% |
10226
13.1 IPS |
|
|
Style Transfer (Q)
|
96% |
4307
5.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1593
58.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4379
161.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
605
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
457
609.8 IPS |
|
|
Text Classification (Q)
|
93% |
457
612.8 IPS |
|
|
Machine Translation (SP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1002
17.3 IPS |
