iPad17,1
Geekbench AI Score
13233
Single Precision Score
23229
Half Precision Score
23361
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | slawomirrybarczyk |
| Upload Date | November 05 2025 05:02 PM |
| Views | 4 |
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% |
6155
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10233
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
9900
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9947
161.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15282
247.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16724
271.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37349
43.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
90107
105.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105604
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
6309
500.4 IPS |
|
|
Object Detection (HP)
|
100% |
10951
868.6 IPS |
|
|
Object Detection (Q)
|
93% |
9795
781.4 IPS |
|
|
Face Detection (SP)
|
100% |
18272
217.1 IPS |
|
|
Face Detection (HP)
|
100% |
32230
383.0 IPS |
|
|
Face Detection (Q)
|
100% |
26042
309.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27688
213.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
50444
388.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
51840
404.8 IPS |
|
|
Style Transfer (SP)
|
100% |
78551
101.0 IPS |
|
|
Style Transfer (HP)
|
100% |
164200
211.1 IPS |
|
|
Style Transfer (Q)
|
96% |
201190
259.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15475
571.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30644
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28917
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3092
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5516
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5430
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6006
103.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6571
113.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6630
114.6 IPS |
