iPad17,1
Geekbench AI Score
12644
Single Precision Score
22751
Half Precision Score
22888
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | rajveerbeerda |
| Upload Date | November 02 2025 09:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6118
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10160
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
9709
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9964
161.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15462
250.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16752
271.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37511
43.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
90433
105.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106592
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
6301
499.8 IPS |
|
|
Object Detection (HP)
|
100% |
10892
864.0 IPS |
|
|
Object Detection (Q)
|
93% |
9803
782.1 IPS |
|
|
Face Detection (SP)
|
100% |
18353
218.1 IPS |
|
|
Face Detection (HP)
|
100% |
32196
382.6 IPS |
|
|
Face Detection (Q)
|
100% |
26060
309.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27706
213.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
50093
385.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
51883
405.1 IPS |
|
|
Style Transfer (SP)
|
100% |
75004
96.4 IPS |
|
|
Style Transfer (HP)
|
100% |
164114
211.0 IPS |
|
|
Style Transfer (Q)
|
96% |
200644
258.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15395
568.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30756
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29142
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2019
2.69 KIPS |
|
|
Text Classification (HP)
|
99% |
5533
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5527
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
6118
105.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5331
91.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5313
91.8 IPS |
