iPad17,1
Geekbench AI Score
13258
Single Precision Score
23395
Half Precision Score
23420
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | shafnitz |
| Upload Date | October 23 2025 05:02 AM |
| Views | 2 |
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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6088
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
10345
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9724
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9997
162.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15351
248.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16734
271.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37452
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
90217
105.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106236
124.5 IPS |
|
|
Object Detection (SP)
|
100% |
6300
499.7 IPS |
|
|
Object Detection (HP)
|
100% |
11006
873.0 IPS |
|
|
Object Detection (Q)
|
93% |
9841
785.1 IPS |
|
|
Face Detection (SP)
|
100% |
18410
218.8 IPS |
|
|
Face Detection (HP)
|
100% |
32373
384.7 IPS |
|
|
Face Detection (Q)
|
100% |
26565
315.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27643
213.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50963
392.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
51497
402.1 IPS |
|
|
Style Transfer (SP)
|
100% |
78829
101.3 IPS |
|
|
Style Transfer (HP)
|
100% |
164644
211.7 IPS |
|
|
Style Transfer (Q)
|
96% |
201272
259.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15730
580.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30490
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28661
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3016
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5546
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5562
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
6143
105.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6784
116.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6649
114.9 IPS |
