iPad17,4
Geekbench AI Score
13360
Single Precision Score
23365
Half Precision Score
23432
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 24 2026 02:56 PM |
| Views | 10 |
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 | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6111
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10293
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
9559
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9936
161.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15396
249.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16836
272.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37730
44.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
90767
105.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106627
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
6325
501.7 IPS |
|
|
Object Detection (HP)
|
100% |
10914
865.7 IPS |
|
|
Object Detection (Q)
|
93% |
9900
789.8 IPS |
|
|
Face Detection (SP)
|
100% |
18432
219.0 IPS |
|
|
Face Detection (HP)
|
100% |
32403
385.0 IPS |
|
|
Face Detection (Q)
|
100% |
26611
316.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
27718
213.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51192
394.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
51869
405.0 IPS |
|
|
Style Transfer (SP)
|
100% |
78772
101.3 IPS |
|
|
Style Transfer (HP)
|
100% |
164717
211.7 IPS |
|
|
Style Transfer (Q)
|
96% |
202531
261.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15633
577.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30554
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28822
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3218
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5520
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5481
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6177
106.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6704
115.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6652
115.0 IPS |
