iPad17,3
Geekbench AI Score
2914
Single Precision Score
4679
Half Precision Score
3661
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 01:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 2.22 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1227
228.3 IPS |
|
|
Image Classification (HP)
|
100% |
1953
363.1 IPS |
|
|
Image Classification (Q)
|
96% |
1287
240.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2009
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6168
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
11044
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9415
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
97% |
2257
179.7 IPS |
|
|
Object Detection (Q)
|
94% |
1549
123.5 IPS |
|
|
Face Detection (SP)
|
100% |
2471
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
4483
53.3 IPS |
|
|
Face Detection (Q)
|
100% |
2481
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4972
38.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
8135
62.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
5626
43.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14581
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21696
27.9 IPS |
|
|
Style Transfer (Q)
|
96% |
17692
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3262
120.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3972
146.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2803
103.5 IPS |
|
|
Text Classification (SP)
|
100% |
1711
2.28 KIPS |
|
|
Text Classification (HP)
|
99% |
3032
4.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3012
4.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2889
49.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5506
95.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5516
95.3 IPS |
