iPad17,4
Geekbench AI Score
13282
Single Precision Score
23374
Half Precision Score
23465
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Jeffnt326 |
| Upload Date | November 15 2025 07:14 AM |
| Views | 3 |
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 | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6115
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10201
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
9702
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9977
161.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15327
248.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16697
270.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37462
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
90086
105.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105673
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
6319
501.2 IPS |
|
|
Object Detection (HP)
|
100% |
10891
863.9 IPS |
|
|
Object Detection (Q)
|
93% |
9855
786.2 IPS |
|
|
Face Detection (SP)
|
100% |
18140
215.5 IPS |
|
|
Face Detection (HP)
|
100% |
32281
383.6 IPS |
|
|
Face Detection (Q)
|
100% |
26056
309.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27652
213.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50999
392.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
51564
402.6 IPS |
|
|
Style Transfer (SP)
|
100% |
78155
100.5 IPS |
|
|
Style Transfer (HP)
|
100% |
164292
211.2 IPS |
|
|
Style Transfer (Q)
|
96% |
201278
259.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15362
567.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30560
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28591
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5655
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5614
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
6165
106.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6789
116.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6913
119.5 IPS |
