iPad17,3
Geekbench AI Score
5258
Single Precision Score
41465
Half Precision Score
57484
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gmn17 |
| Upload Date | October 25 2025 05:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 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% |
2281
424.1 IPS |
|
|
Image Classification (HP)
|
100% |
18045
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
24228
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24363
394.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33210
538.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11051
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178009
207.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
332736
390.0 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.5 IPS |
|
|
Object Detection (HP)
|
100% |
18767
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26484
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4736
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
46594
553.6 IPS |
|
|
Face Detection (Q)
|
100% |
66323
788.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9052
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
114262
880.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
188347
1.47 KIPS |
|
|
Style Transfer (SP)
|
100% |
27278
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
271651
349.2 IPS |
|
|
Style Transfer (Q)
|
96% |
372551
480.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5786
213.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62818
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
98920
3.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3188
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
6390
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6512
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5144
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17623
303.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18537
320.3 IPS |
