iPad (9th generation)
Geekbench AI Score
1173
Single Precision Score
3565
Half Precision Score
732
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 21 2024 12:21 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
547
101.8 IPS |
|
|
Image Classification (HP)
|
100% |
2767
514.6 IPS |
|
|
Image Classification (Q)
|
97% |
276
51.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
428
6.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
476
7.71 IPS |
|
|
Image Segmentation (Q)
|
99% |
300
4.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
3159
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
29266
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3539
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
2433
193.0 IPS |
|
|
Object Detection (Q)
|
94% |
288
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
1139
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
7039
83.6 IPS |
|
|
Face Detection (Q)
|
100% |
377
4.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
1923
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23095
177.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1048
8.19 IPS |
|
|
Style Transfer (SP)
|
100% |
5111
6.57 IPS |
|
|
Style Transfer (HP)
|
100% |
10597
13.6 IPS |
|
|
Style Transfer (Q)
|
96% |
4537
5.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4367
161.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
623
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
459
612.9 IPS |
|
|
Text Classification (Q)
|
93% |
460
616.7 IPS |
|
|
Machine Translation (SP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1031
17.8 IPS |
