iPad17,1
Geekbench AI Score
12726
Single Precision Score
22701
Half Precision Score
22826
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 09:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6129
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10112
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
9601
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9979
161.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15200
246.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16719
271.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
37252
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
89752
104.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105822
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
6299
499.6 IPS |
|
|
Object Detection (HP)
|
100% |
10879
863.0 IPS |
|
|
Object Detection (Q)
|
93% |
9819
783.4 IPS |
|
|
Face Detection (SP)
|
100% |
18317
217.6 IPS |
|
|
Face Detection (HP)
|
100% |
32035
380.6 IPS |
|
|
Face Detection (Q)
|
100% |
26415
313.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27568
212.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50795
391.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
51451
401.7 IPS |
|
|
Style Transfer (SP)
|
100% |
77947
100.2 IPS |
|
|
Style Transfer (HP)
|
100% |
164720
211.7 IPS |
|
|
Style Transfer (Q)
|
96% |
200038
258.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15352
566.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30644
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28582
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2067
2.76 KIPS |
|
|
Text Classification (HP)
|
99% |
5520
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5551
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
6220
107.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5343
92.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5338
92.2 IPS |
