iPad17,3
Geekbench AI Score
5342
Single Precision Score
8667
Half Precision Score
6895
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 11:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2293
426.4 IPS |
|
|
Image Classification (HP)
|
100% |
3737
694.9 IPS |
|
|
Image Classification (Q)
|
96% |
2528
472.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3466
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3829
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11323
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20934
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17893
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2699
214.1 IPS |
|
|
Object Detection (HP)
|
97% |
4233
337.0 IPS |
|
|
Object Detection (Q)
|
94% |
2963
236.2 IPS |
|
|
Face Detection (SP)
|
100% |
4823
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8575
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
4793
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9147
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15277
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10573
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27396
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41316
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33990
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6019
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7300
269.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5162
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
3068
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5518
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5580
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5203
89.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9559
165.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9545
165.0 IPS |
