iPad17,3
Geekbench AI Score
5301
Single Precision Score
8643
Half Precision Score
6843
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 01 2026 03:29 PM |
| Views | 3 |
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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2276
423.3 IPS |
|
|
Image Classification (HP)
|
100% |
3704
688.9 IPS |
|
|
Image Classification (Q)
|
96% |
2498
466.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3497
56.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3799
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11332
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20871
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17792
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
97% |
4191
333.6 IPS |
|
|
Object Detection (Q)
|
94% |
2938
234.2 IPS |
|
|
Face Detection (SP)
|
100% |
4863
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
8573
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
4793
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9141
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15220
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10544
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26610
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41326
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33792
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6019
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7320
270.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5181
191.3 IPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5546
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5520
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5026
86.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9389
162.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9305
160.8 IPS |
