iPad17,3
Geekbench AI Score
5321
Single Precision Score
8645
Half Precision Score
6855
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ROW363 |
| Upload Date | December 24 2025 12:06 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2281
424.1 IPS |
|
|
Image Classification (HP)
|
100% |
3740
695.4 IPS |
|
|
Image Classification (Q)
|
96% |
2519
470.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3441
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3723
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11360
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20923
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17848
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.8 IPS |
|
|
Object Detection (HP)
|
97% |
4221
336.0 IPS |
|
|
Object Detection (Q)
|
94% |
2948
235.0 IPS |
|
|
Face Detection (SP)
|
100% |
4813
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8408
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
4767
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9144
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15253
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10553
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26208
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41288
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33652
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5945
219.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7326
270.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5159
190.5 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5537
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5512
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5138
88.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9561
165.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9649
166.7 IPS |
