iPad17,3
Geekbench AI Score
13353
Single Precision Score
23375
Half Precision Score
23397
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 04:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6164
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10355
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9747
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10028
162.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15326
248.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16736
271.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37576
43.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
90424
105.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106145
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
6300
499.7 IPS |
|
|
Object Detection (HP)
|
100% |
10921
866.3 IPS |
|
|
Object Detection (Q)
|
93% |
9793
781.2 IPS |
|
|
Face Detection (SP)
|
100% |
18354
218.1 IPS |
|
|
Face Detection (HP)
|
100% |
32251
383.2 IPS |
|
|
Face Detection (Q)
|
100% |
26303
312.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27693
213.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51471
396.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
51762
404.1 IPS |
|
|
Style Transfer (SP)
|
100% |
78803
101.3 IPS |
|
|
Style Transfer (HP)
|
100% |
164668
211.7 IPS |
|
|
Style Transfer (Q)
|
96% |
201351
259.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15525
573.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30406
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28790
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3203
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5597
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5481
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6188
106.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6682
115.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6704
115.9 IPS |
