iPad (9th generation)
Geekbench AI Score
1683
Single Precision Score
3081
Half Precision Score
2549
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 09:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
803
149.3 IPS |
|
|
Image Classification (HP)
|
100% |
1372
255.1 IPS |
|
|
Image Classification (Q)
|
96% |
973
181.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1169
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1367
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3565
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
6570
7.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
5839
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
722
57.3 IPS |
|
|
Object Detection (HP)
|
97% |
1578
125.6 IPS |
|
|
Object Detection (Q)
|
94% |
1149
91.5 IPS |
|
|
Face Detection (SP)
|
100% |
1568
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (Q)
|
100% |
1816
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2991
23.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5531
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4100
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7535
9.69 IPS |
|
|
Style Transfer (HP)
|
100% |
14568
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
11994
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1966
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2533
93.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2042
75.4 IPS |
|
|
Text Classification (SP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2184
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3229
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3260
56.3 IPS |
