iPad17,1
Geekbench AI Score
13243
Single Precision Score
23305
Half Precision Score
23409
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 12:07 PM |
| 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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6145
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10165
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
9618
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10026
162.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15176
246.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16749
271.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
37419
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
89756
104.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105866
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
6308
500.4 IPS |
|
|
Object Detection (HP)
|
100% |
10945
868.2 IPS |
|
|
Object Detection (Q)
|
93% |
9924
791.7 IPS |
|
|
Face Detection (SP)
|
100% |
18356
218.1 IPS |
|
|
Face Detection (HP)
|
100% |
32440
385.5 IPS |
|
|
Face Detection (Q)
|
100% |
26244
311.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27685
213.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
50465
388.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
51788
404.3 IPS |
|
|
Style Transfer (SP)
|
100% |
78039
100.3 IPS |
|
|
Style Transfer (HP)
|
100% |
164410
211.4 IPS |
|
|
Style Transfer (Q)
|
96% |
200870
259.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15345
566.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30940
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28551
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3035
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5628
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5494
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
6177
106.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6656
114.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6820
117.9 IPS |
