iPad17,4
Geekbench AI Score
13367
Single Precision Score
23321
Half Precision Score
23486
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 18 2026 05:50 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.39 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6127
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10093
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
9539
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9993
162.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15543
252.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16851
273.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37738
44.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
90868
106.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106570
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
6334
502.4 IPS |
|
|
Object Detection (HP)
|
100% |
10940
867.7 IPS |
|
|
Object Detection (Q)
|
93% |
9966
795.0 IPS |
|
|
Face Detection (SP)
|
100% |
18558
220.5 IPS |
|
|
Face Detection (HP)
|
100% |
32383
384.8 IPS |
|
|
Face Detection (Q)
|
100% |
26669
316.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27670
213.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51292
395.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
52051
406.4 IPS |
|
|
Style Transfer (SP)
|
100% |
78883
101.4 IPS |
|
|
Style Transfer (HP)
|
100% |
164814
211.9 IPS |
|
|
Style Transfer (Q)
|
96% |
201738
260.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15532
573.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30400
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28996
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5484
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5492
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
6160
106.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6687
115.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6709
115.9 IPS |
