iPad17,2
Geekbench AI Score
5327
Single Precision Score
8535
Half Precision Score
6848
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | January 30 2026 03:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2298
427.3 IPS |
|
|
Image Classification (HP)
|
100% |
3694
686.9 IPS |
|
|
Image Classification (Q)
|
96% |
2505
467.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3445
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3819
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11354
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20905
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17839
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2672
212.0 IPS |
|
|
Object Detection (HP)
|
97% |
4212
335.3 IPS |
|
|
Object Detection (Q)
|
94% |
2950
235.2 IPS |
|
|
Face Detection (SP)
|
100% |
4795
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8441
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4739
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9016
69.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15116
116.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10585
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27269
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41290
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33799
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6031
222.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7300
269.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5148
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5612
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5549
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5009
86.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8485
146.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9311
160.9 IPS |
