iPad17,4
Geekbench AI Score
5301
Single Precision Score
8624
Half Precision Score
6843
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Cho_Seung_Woo |
| Upload Date | February 05 2026 06:14 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2263
420.9 IPS |
|
|
Image Classification (HP)
|
100% |
3701
688.2 IPS |
|
|
Image Classification (Q)
|
96% |
2501
467.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3404
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3750
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11043
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20900
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17819
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.1 IPS |
|
|
Object Detection (HP)
|
97% |
4204
334.7 IPS |
|
|
Object Detection (Q)
|
94% |
2922
232.9 IPS |
|
|
Face Detection (SP)
|
100% |
4775
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8483
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4729
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9079
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15217
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10548
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27571
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41427
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33860
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7301
269.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5171
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5592
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5608
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4983
85.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9420
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9417
162.7 IPS |
