iPad17,4
Geekbench AI Score
13230
Single Precision Score
23342
Half Precision Score
23310
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 03:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6136
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10170
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
9412
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9925
160.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15517
251.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16794
272.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37770
44.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
91369
106.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
106329
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
6295
499.3 IPS |
|
|
Object Detection (HP)
|
100% |
10893
864.0 IPS |
|
|
Object Detection (Q)
|
93% |
9844
785.3 IPS |
|
|
Face Detection (SP)
|
100% |
18116
215.3 IPS |
|
|
Face Detection (HP)
|
100% |
32319
384.0 IPS |
|
|
Face Detection (Q)
|
100% |
26078
309.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27705
213.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51255
394.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
51792
404.4 IPS |
|
|
Style Transfer (SP)
|
100% |
78805
101.3 IPS |
|
|
Style Transfer (HP)
|
100% |
164543
211.5 IPS |
|
|
Style Transfer (Q)
|
96% |
202979
261.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15532
573.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30677
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28984
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5480
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5401
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6150
105.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6674
115.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6673
115.3 IPS |
