iPad17,1
Geekbench AI Score
5321
Single Precision Score
41845
Half Precision Score
58815
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | shafnitz |
| Upload Date | October 23 2025 05:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| 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% |
2274
422.8 IPS |
|
|
Image Classification (HP)
|
100% |
18213
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
25152
4.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24093
390.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33842
548.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11000
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177640
207.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
333836
391.3 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
100% |
18678
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
27488
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
4807
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
47357
562.7 IPS |
|
|
Face Detection (Q)
|
100% |
67226
798.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9095
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
111176
856.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
186097
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
27486
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
273147
351.1 IPS |
|
|
Style Transfer (Q)
|
96% |
374729
483.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5985
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67008
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100056
3.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3108
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
6579
8.78 KIPS |
|
|
Text Classification (Q)
|
93% |
7322
9.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5162
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17836
307.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18464
319.1 IPS |
