iPad17,4
Geekbench AI Score
5326
Single Precision Score
8636
Half Precision Score
6860
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 17 2025 03:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2273
422.8 IPS |
|
|
Image Classification (HP)
|
100% |
3675
683.5 IPS |
|
|
Image Classification (Q)
|
96% |
2498
466.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3454
56.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3831
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11367
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20910
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17886
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2672
211.9 IPS |
|
|
Object Detection (HP)
|
97% |
4201
334.4 IPS |
|
|
Object Detection (Q)
|
94% |
2937
234.1 IPS |
|
|
Face Detection (SP)
|
100% |
4859
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
8527
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4791
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9125
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15281
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10562
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27369
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41387
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33836
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6013
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7232
267.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5197
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
3007
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5598
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5488
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5133
88.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9486
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9403
162.5 IPS |
