iPad17,1
Geekbench AI Score
13324
Single Precision Score
23266
Half Precision Score
23480
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 07:34 AM |
| Views | 1 |
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% |
6146
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10211
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
9666
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9954
161.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15330
248.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16784
272.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37514
43.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
90474
105.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
106436
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
6313
500.7 IPS |
|
|
Object Detection (HP)
|
100% |
10868
862.1 IPS |
|
|
Object Detection (Q)
|
93% |
9810
782.6 IPS |
|
|
Face Detection (SP)
|
100% |
18316
217.6 IPS |
|
|
Face Detection (HP)
|
100% |
32112
381.6 IPS |
|
|
Face Detection (Q)
|
100% |
26201
311.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27672
213.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
50609
389.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
51870
405.0 IPS |
|
|
Style Transfer (SP)
|
100% |
78742
101.2 IPS |
|
|
Style Transfer (HP)
|
100% |
164486
211.4 IPS |
|
|
Style Transfer (Q)
|
96% |
201767
260.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15540
573.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30809
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29333
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5450
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5549
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
6147
105.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6728
115.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6738
116.4 IPS |
