iPad17,4
Geekbench AI Score
5366
Single Precision Score
8639
Half Precision Score
6855
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 04 2026 04:26 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2293
426.4 IPS |
|
|
Image Classification (HP)
|
100% |
3699
687.8 IPS |
|
|
Image Classification (Q)
|
96% |
2493
465.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3416
55.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3782
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11359
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20957
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17845
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2683
212.8 IPS |
|
|
Object Detection (HP)
|
97% |
4185
333.2 IPS |
|
|
Object Detection (Q)
|
94% |
2940
234.4 IPS |
|
|
Face Detection (SP)
|
100% |
4862
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
8578
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
4782
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9169
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15193
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10548
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27425
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41399
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33862
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6027
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7233
267.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5189
191.6 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5615
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5499
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5187
89.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9542
164.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9506
164.3 IPS |
