iPad17,1
Geekbench AI Score
13099
Single Precision Score
23240
Half Precision Score
23140
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Bearco |
| Upload Date | October 27 2025 08:25 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6127
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10383
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9640
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9969
161.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15180
246.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16722
271.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37167
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
89390
104.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105037
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
6302
499.8 IPS |
|
|
Object Detection (HP)
|
100% |
10887
863.6 IPS |
|
|
Object Detection (Q)
|
93% |
9845
785.4 IPS |
|
|
Face Detection (SP)
|
100% |
18310
217.6 IPS |
|
|
Face Detection (HP)
|
100% |
32258
383.3 IPS |
|
|
Face Detection (Q)
|
100% |
26086
310.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27554
212.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
50201
386.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
51185
399.6 IPS |
|
|
Style Transfer (SP)
|
100% |
77495
99.6 IPS |
|
|
Style Transfer (HP)
|
100% |
163682
210.4 IPS |
|
|
Style Transfer (Q)
|
96% |
198830
256.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15435
570.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30617
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27819
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2862
3.82 KIPS |
|
|
Text Classification (HP)
|
99% |
5623
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5444
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
6023
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6566
113.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6568
113.5 IPS |
