iPad17,2
Geekbench AI Score
5339
Single Precision Score
8681
Half Precision Score
6860
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | November 26 2025 03:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2292
426.3 IPS |
|
|
Image Classification (HP)
|
100% |
3714
690.7 IPS |
|
|
Image Classification (Q)
|
96% |
2512
469.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3462
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3824
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11072
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20879
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17810
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
97% |
4233
337.0 IPS |
|
|
Object Detection (Q)
|
94% |
2949
235.1 IPS |
|
|
Face Detection (SP)
|
100% |
4813
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8479
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4753
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9106
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15297
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10577
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27568
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41385
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33835
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6004
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7325
270.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5184
191.4 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5550
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5480
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5183
89.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9808
169.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9469
163.6 IPS |
