iPad17,4
Geekbench AI Score
12692
Single Precision Score
22797
Half Precision Score
22816
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 08:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6108
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10307
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9672
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9959
161.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15188
246.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16694
270.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37376
43.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
89518
104.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106290
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
6270
497.3 IPS |
|
|
Object Detection (HP)
|
100% |
10871
862.3 IPS |
|
|
Object Detection (Q)
|
93% |
9782
780.4 IPS |
|
|
Face Detection (SP)
|
100% |
18140
215.5 IPS |
|
|
Face Detection (HP)
|
100% |
31973
379.9 IPS |
|
|
Face Detection (Q)
|
100% |
26360
313.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
27451
211.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51529
397.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
51258
400.2 IPS |
|
|
Style Transfer (SP)
|
100% |
78756
101.2 IPS |
|
|
Style Transfer (HP)
|
100% |
164161
211.0 IPS |
|
|
Style Transfer (Q)
|
96% |
201237
259.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15508
572.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30899
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28582
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2036
2.72 KIPS |
|
|
Text Classification (HP)
|
99% |
5588
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5506
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
6145
105.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5331
91.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5324
92.0 IPS |
