iPad (9th generation)
Geekbench AI Score
1188
Single Precision Score
3580
Half Precision Score
738
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 11 2024 11:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
546
101.5 IPS |
|
|
Image Classification (HP)
|
100% |
2705
503.0 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
432
7.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (Q)
|
99% |
304
4.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
3231
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
29270
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
3547
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (HP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (Q)
|
94% |
291
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
1140
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
6976
82.9 IPS |
|
|
Face Detection (Q)
|
100% |
379
4.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
1973
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23614
181.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1062
8.30 IPS |
|
|
Style Transfer (SP)
|
100% |
5255
6.76 IPS |
|
|
Style Transfer (HP)
|
100% |
10706
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
4630
5.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1653
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4343
160.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
631
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
462
616.9 IPS |
|
|
Text Classification (Q)
|
93% |
459
615.4 IPS |
|
|
Machine Translation (SP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1034
17.9 IPS |
