iPad17,3
Geekbench AI Score
5318
Single Precision Score
8645
Half Precision Score
6836
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 09:03 PM |
| 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 | 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% |
2274
422.8 IPS |
|
|
Image Classification (HP)
|
100% |
3717
691.2 IPS |
|
|
Image Classification (Q)
|
96% |
2499
466.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2298
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3393
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3724
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11043
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20943
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17872
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.9 IPS |
|
|
Object Detection (HP)
|
97% |
4192
333.7 IPS |
|
|
Object Detection (Q)
|
94% |
2924
233.1 IPS |
|
|
Face Detection (SP)
|
100% |
4808
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8492
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4735
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9131
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15254
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10566
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27428
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41359
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33779
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6012
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7350
271.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5165
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5599
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5519
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5099
87.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9562
165.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9516
164.4 IPS |
