iPad17,3
Geekbench AI Score
13050
Single Precision Score
23023
Half Precision Score
23026
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Sly-RG |
| Upload Date | November 06 2025 07:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
6108
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10045
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
9339
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9885
160.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14998
243.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16455
266.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
36672
42.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
88920
103.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104290
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
6251
495.8 IPS |
|
|
Object Detection (HP)
|
100% |
10842
860.0 IPS |
|
|
Object Detection (Q)
|
93% |
9813
782.8 IPS |
|
|
Face Detection (SP)
|
100% |
17935
213.1 IPS |
|
|
Face Detection (HP)
|
100% |
31818
378.1 IPS |
|
|
Face Detection (Q)
|
100% |
25805
306.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27292
210.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
49790
383.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
50584
394.9 IPS |
|
|
Style Transfer (SP)
|
100% |
77266
99.3 IPS |
|
|
Style Transfer (HP)
|
100% |
163120
209.7 IPS |
|
|
Style Transfer (Q)
|
96% |
198244
255.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15199
561.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30607
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28035
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
5593
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5591
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6040
104.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6515
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6569
113.5 IPS |
