iPad17,3
Geekbench AI Score
5312
Single Precision Score
8601
Half Precision Score
6794
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 01 2026 10:54 AM |
| Views | 4 |
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% |
2272
422.4 IPS |
|
|
Image Classification (HP)
|
100% |
3633
675.6 IPS |
|
|
Image Classification (Q)
|
96% |
2468
460.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3404
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3741
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11018
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20844
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17652
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
97% |
4186
333.2 IPS |
|
|
Object Detection (Q)
|
94% |
2925
233.2 IPS |
|
|
Face Detection (SP)
|
100% |
4762
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
8475
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4741
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9075
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15024
116.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10469
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27448
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41414
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33747
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6019
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7381
272.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5171
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5483
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5517
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5107
88.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9624
166.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9207
159.1 IPS |
