iPad17,3
Geekbench AI Score
5578
Single Precision Score
9080
Half Precision Score
6945
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | TxxT |
| Upload Date | April 03 2026 07:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2249
418.2 IPS |
|
|
Image Classification (HP)
|
100% |
3779
702.8 IPS |
|
|
Image Classification (Q)
|
94% |
2034
380.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2367
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2901
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3802
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9980
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19390
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16679
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2741
217.4 IPS |
|
|
Object Detection (HP)
|
98% |
4081
324.8 IPS |
|
|
Object Detection (Q)
|
88% |
2590
207.6 IPS |
|
|
Face Detection (SP)
|
100% |
5164
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
9429
112.0 IPS |
|
|
Face Detection (Q)
|
100% |
5004
59.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8778
67.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11568
89.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7996
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25309
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
45892
59.0 IPS |
|
|
Style Transfer (Q)
|
96% |
36754
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10614
391.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6243
230.5 IPS |
|
|
Text Classification (SP)
|
99% |
5856
7.82 KIPS |
|
|
Text Classification (HP)
|
100% |
10016
13.4 KIPS |
|
|
Text Classification (Q)
|
93% |
10064
13.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
5109
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8253
142.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8459
146.2 IPS |
