iPad17,4
Geekbench AI Score
13039
Single Precision Score
23029
Half Precision Score
23085
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | HoukCC |
| Upload Date | January 22 2026 10:59 PM |
| Views | 11 |
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, 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% |
6080
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
10193
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
9540
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9897
160.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15142
245.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16630
269.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37264
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
89281
104.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105586
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
6264
496.9 IPS |
|
|
Object Detection (HP)
|
100% |
10913
865.6 IPS |
|
|
Object Detection (Q)
|
93% |
9786
780.7 IPS |
|
|
Face Detection (SP)
|
100% |
18000
213.9 IPS |
|
|
Face Detection (HP)
|
100% |
32086
381.3 IPS |
|
|
Face Detection (Q)
|
100% |
25947
308.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27518
212.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50124
386.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
51220
399.9 IPS |
|
|
Style Transfer (SP)
|
100% |
77874
100.1 IPS |
|
|
Style Transfer (HP)
|
100% |
163506
210.2 IPS |
|
|
Style Transfer (Q)
|
96% |
201034
259.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15602
576.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30825
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28113
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2899
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
5500
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5454
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5798
99.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6259
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6402
110.6 IPS |
