[2021] Tablet: Apple iPad (Gen 9) [MK2K3B/A] [A2602] iPad (9th generation)
Geekbench AI Score
909
Single Precision Score
1109
Half Precision Score
680
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | inc7007 |
| Upload Date | August 17 2024 04:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
288
53.5 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.4 IPS |
|
|
Image Classification (Q)
|
99% |
350
65.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
321
5.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (Q)
|
100% |
361
5.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
2367
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3197
3.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
1266
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
626
49.6 IPS |
|
|
Object Detection (HP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2501
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
3371
40.1 IPS |
|
|
Face Detection (Q)
|
100% |
383
4.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
2468
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3391
26.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
3458
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6138
7.89 IPS |
|
|
Style Transfer (HP)
|
100% |
8556
11.0 IPS |
|
|
Style Transfer (Q)
|
100% |
8553
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1140
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1271
46.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
451
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
240
320.7 IPS |
|
|
Text Classification (HP)
|
100% |
374
499.2 IPS |
|
|
Text Classification (Q)
|
93% |
370
496.1 IPS |
|
|
Machine Translation (SP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (HP)
|
100% |
244
4.20 IPS |
|
|
Machine Translation (Q)
|
98% |
238
4.12 IPS |
