iPad (9th generation)
Geekbench AI Score
1642
Single Precision Score
3046
Half Precision Score
2529
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | FreddySoliz09 |
| Upload Date | May 16 2025 10:52 AM |
| Views | 12 |
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% |
800
148.9 IPS |
|
|
Image Classification (HP)
|
100% |
1364
253.6 IPS |
|
|
Image Classification (Q)
|
96% |
973
181.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1350
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3474
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
6325
7.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
5613
6.58 IPS |
|
|
Object Detection (SP)
|
100% |
704
55.9 IPS |
|
|
Object Detection (HP)
|
97% |
1564
124.5 IPS |
|
|
Object Detection (Q)
|
94% |
1138
90.7 IPS |
|
|
Face Detection (SP)
|
100% |
1543
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
3076
36.6 IPS |
|
|
Face Detection (Q)
|
100% |
1771
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2940
22.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5493
42.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4061
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7189
9.24 IPS |
|
|
Style Transfer (HP)
|
100% |
14348
18.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12311
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1820
67.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2533
93.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2062
76.1 IPS |
|
|
Text Classification (SP)
|
100% |
1296
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2186
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2175
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3265
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3219
55.6 IPS |
