iPad17,2
Geekbench AI Score
5262
Single Precision Score
41257
Half Precision Score
57809
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | pdfanberlin |
| Upload Date | October 26 2025 06:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2259
420.1 IPS |
|
|
Image Classification (HP)
|
100% |
18225
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
24623
4.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24398
395.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33502
543.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11054
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178912
208.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
328396
384.9 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
17960
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26600
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4780
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
46694
554.8 IPS |
|
|
Face Detection (Q)
|
100% |
66589
791.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9064
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
110668
852.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
181890
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
27518
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271391
348.9 IPS |
|
|
Style Transfer (Q)
|
96% |
372875
481.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5870
216.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63050
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99081
3.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3178
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
6346
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6800
9.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5071
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17823
307.0 IPS |
|
|
Machine Translation (Q)
|
98% |
19012
328.6 IPS |
