iPad (9th generation)
Geekbench AI Score
923
Single Precision Score
1122
Half Precision Score
679
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | NuclearNotebook |
| Upload Date | August 18 2024 07:08 AM |
| Views | 3 |
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% |
317
59.0 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.8 IPS |
|
|
Image Classification (Q)
|
99% |
375
69.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
322
5.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.54 IPS |
|
|
Image Segmentation (Q)
|
100% |
349
5.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2366
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3205
3.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
1167
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (HP)
|
100% |
630
50.0 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
2494
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
3367
40.0 IPS |
|
|
Face Detection (Q)
|
100% |
395
4.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
2509
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3503
27.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
3448
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6161
7.92 IPS |
|
|
Style Transfer (HP)
|
100% |
8595
11.0 IPS |
|
|
Style Transfer (Q)
|
100% |
8589
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1206
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1351
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
450
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
236
314.8 IPS |
|
|
Text Classification (HP)
|
100% |
374
499.2 IPS |
|
|
Text Classification (Q)
|
93% |
371
497.9 IPS |
|
|
Machine Translation (SP)
|
100% |
273
4.71 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (Q)
|
98% |
237
4.10 IPS |
