iPad17,3
Geekbench AI Score
5280
Single Precision Score
41156
Half Precision Score
57719
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 07:56 AM |
| Views | 9 |
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% |
2263
420.8 IPS |
|
|
Image Classification (HP)
|
100% |
17943
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
23884
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2174
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24017
389.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33569
544.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11347
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
177631
207.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
333099
390.4 IPS |
|
|
Object Detection (SP)
|
100% |
2661
211.1 IPS |
|
|
Object Detection (HP)
|
100% |
18120
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26418
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4740
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
47031
558.8 IPS |
|
|
Face Detection (Q)
|
100% |
66885
794.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9081
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
111046
855.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
189078
1.48 KIPS |
|
|
Style Transfer (SP)
|
100% |
27321
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
271061
348.5 IPS |
|
|
Style Transfer (Q)
|
96% |
378368
488.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5892
217.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63182
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99500
3.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
6327
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6610
8.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5141
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17765
306.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18483
319.4 IPS |
