iPad (9th generation)
Geekbench AI Score
1199
Single Precision Score
3553
Half Precision Score
739
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 15 2024 10:28 AM |
| Views | 2 |
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% |
545
101.3 IPS |
|
|
Image Classification (HP)
|
100% |
2653
493.4 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
434
7.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
481
7.79 IPS |
|
|
Image Segmentation (Q)
|
99% |
304
4.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
3258
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
29328
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
3508
4.11 IPS |
|
|
Object Detection (SP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (Q)
|
94% |
290
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
1172
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
6935
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
387
4.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
1963
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23410
180.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
1064
8.31 IPS |
|
|
Style Transfer (SP)
|
100% |
5435
6.99 IPS |
|
|
Style Transfer (HP)
|
100% |
10639
13.7 IPS |
|
|
Style Transfer (Q)
|
96% |
4625
5.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4291
158.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
630
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
779
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
461
615.8 IPS |
|
|
Text Classification (Q)
|
93% |
459
615.7 IPS |
|
|
Machine Translation (SP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1038
17.9 IPS |
