iPad (9th generation)
Geekbench AI Score
1187
Single Precision Score
3572
Half Precision Score
1430
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2024 12:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
542
100.9 IPS |
|
|
Image Classification (HP)
|
100% |
2746
510.6 IPS |
|
|
Image Classification (Q)
|
99% |
2676
499.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (Q)
|
100% |
481
7.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
3231
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
29243
34.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
3445
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
2435
193.1 IPS |
|
|
Object Detection (Q)
|
94% |
290
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
1135
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
6968
82.8 IPS |
|
|
Face Detection (Q)
|
100% |
386
4.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1927
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23354
179.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
23500
181.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5270
6.77 IPS |
|
|
Style Transfer (HP)
|
100% |
10637
13.7 IPS |
|
|
Style Transfer (Q)
|
100% |
10737
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1681
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4339
160.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
618
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
460
614.1 IPS |
|
|
Text Classification (Q)
|
93% |
460
617.2 IPS |
|
|
Machine Translation (SP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1009
17.4 IPS |
