iPad17,2
Geekbench AI Score
5582
Single Precision Score
9038
Half Precision Score
6944
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | nvsnvs32 |
| Upload Date | March 24 2026 08:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
2252
418.9 IPS |
|
|
Image Classification (HP)
|
100% |
3811
708.8 IPS |
|
|
Image Classification (Q)
|
94% |
2056
384.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2918
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3872
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9959
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19365
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16672
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2725
216.1 IPS |
|
|
Object Detection (HP)
|
98% |
3947
314.1 IPS |
|
|
Object Detection (Q)
|
88% |
2661
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
5157
61.3 IPS |
|
|
Face Detection (HP)
|
100% |
9356
111.2 IPS |
|
|
Face Detection (Q)
|
100% |
4999
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8790
67.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11655
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8054
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25388
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
45766
58.8 IPS |
|
|
Style Transfer (Q)
|
96% |
36759
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5835
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10579
390.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6241
230.5 IPS |
|
|
Text Classification (SP)
|
99% |
6002
8.01 KIPS |
|
|
Text Classification (HP)
|
99% |
9836
13.1 KIPS |
|
|
Text Classification (Q)
|
93% |
9794
13.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
5083
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8245
142.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8167
141.1 IPS |
