iPad (9th generation)
Geekbench AI Score
1200
Single Precision Score
3615
Half Precision Score
739
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 09 2024 11:35 AM |
| 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% |
544
101.1 IPS |
|
|
Image Classification (HP)
|
100% |
2778
516.6 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (Q)
|
99% |
311
5.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
3276
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
28620
33.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
3573
4.19 IPS |
|
|
Object Detection (SP)
|
100% |
579
45.9 IPS |
|
|
Object Detection (HP)
|
100% |
2566
203.6 IPS |
|
|
Object Detection (Q)
|
94% |
294
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
1168
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
7203
85.6 IPS |
|
|
Face Detection (Q)
|
100% |
393
4.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
2019
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23572
181.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
979
7.65 IPS |
|
|
Style Transfer (SP)
|
100% |
5083
6.53 IPS |
|
|
Style Transfer (HP)
|
100% |
10501
13.5 IPS |
|
|
Style Transfer (Q)
|
96% |
4560
5.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1731
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4329
159.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
632
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
463
618.6 IPS |
|
|
Text Classification (Q)
|
93% |
458
614.4 IPS |
|
|
Machine Translation (SP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1060
18.3 IPS |
