iPad17,1
Geekbench AI Score
5335
Single Precision Score
8624
Half Precision Score
6809
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | rajveerbeerda |
| Upload Date | November 02 2025 09:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2257
419.7 IPS |
|
|
Image Classification (HP)
|
100% |
3656
680.0 IPS |
|
|
Image Classification (Q)
|
96% |
2478
462.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3440
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3744
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11324
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20832
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17760
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.8 IPS |
|
|
Object Detection (HP)
|
97% |
4198
334.2 IPS |
|
|
Object Detection (Q)
|
94% |
2923
233.0 IPS |
|
|
Face Detection (SP)
|
100% |
4768
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8468
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4729
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9104
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15225
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10538
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27599
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41422
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33823
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6000
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7310
269.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5184
191.4 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5453
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5425
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5160
88.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9723
168.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9383
162.2 IPS |
