iPad17,3
Geekbench AI Score
5325
Single Precision Score
8620
Half Precision Score
6854
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 06:19 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% |
2278
423.6 IPS |
|
|
Image Classification (HP)
|
100% |
3710
689.9 IPS |
|
|
Image Classification (Q)
|
96% |
2501
467.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3384
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3732
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11003
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20906
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17816
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
97% |
4198
334.2 IPS |
|
|
Object Detection (Q)
|
94% |
2925
233.2 IPS |
|
|
Face Detection (SP)
|
100% |
4813
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8479
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4743
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9087
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15256
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10585
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27215
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41410
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33793
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7319
270.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5161
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5613
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5616
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5165
89.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9344
161.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9579
165.5 IPS |
