iPad17,3
Geekbench AI Score
5286
Single Precision Score
8626
Half Precision Score
6839
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 02:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2276
423.3 IPS |
|
|
Image Classification (HP)
|
100% |
3675
683.4 IPS |
|
|
Image Classification (Q)
|
96% |
2489
464.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3429
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3760
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10953
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20915
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17851
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (HP)
|
97% |
4209
335.0 IPS |
|
|
Object Detection (Q)
|
94% |
2923
233.0 IPS |
|
|
Face Detection (SP)
|
100% |
4773
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8468
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4732
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9125
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15237
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10509
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27241
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41300
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33709
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6022
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7313
270.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5178
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
3088
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
5609
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5433
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4994
86.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9417
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9734
168.2 IPS |
