iPad17,4
Geekbench AI Score
5323
Single Precision Score
8646
Half Precision Score
6839
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 04:43 AM |
| Views | 1 |
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% |
2263
420.9 IPS |
|
|
Image Classification (HP)
|
100% |
3684
685.2 IPS |
|
|
Image Classification (Q)
|
96% |
2495
466.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3441
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3790
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11007
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20868
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17792
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
97% |
4189
333.5 IPS |
|
|
Object Detection (Q)
|
94% |
2920
232.8 IPS |
|
|
Face Detection (SP)
|
100% |
4765
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
8440
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4749
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9094
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15267
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10511
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27433
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41349
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33788
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6001
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7380
272.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5173
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5550
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5502
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5181
89.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9660
166.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9505
164.3 IPS |
