iPad17,3
Geekbench AI Score
5278
Single Precision Score
41488
Half Precision Score
57833
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 01:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2289
425.8 IPS |
|
|
Image Classification (HP)
|
100% |
18617
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
24633
4.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2174
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24621
399.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
34032
551.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11318
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
178232
208.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
334663
392.2 IPS |
|
|
Object Detection (SP)
|
100% |
2647
210.0 IPS |
|
|
Object Detection (HP)
|
100% |
18483
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26427
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4778
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
47319
562.2 IPS |
|
|
Face Detection (Q)
|
100% |
67516
802.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8992
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110861
854.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
186054
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
27418
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
271437
348.9 IPS |
|
|
Style Transfer (Q)
|
96% |
374040
482.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5830
215.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62942
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99532
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6279
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6515
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5118
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17783
306.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18531
320.2 IPS |
