iPad17,3
Geekbench AI Score
5286
Single Precision Score
8590
Half Precision Score
6804
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 12:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2308
429.1 IPS |
|
|
Image Classification (HP)
|
100% |
3754
698.1 IPS |
|
|
Image Classification (Q)
|
96% |
2521
470.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3267
53.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3527
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11361
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20925
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17856
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2676
212.3 IPS |
|
|
Object Detection (HP)
|
97% |
4210
335.1 IPS |
|
|
Object Detection (Q)
|
94% |
2949
235.0 IPS |
|
|
Face Detection (SP)
|
100% |
4825
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8518
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4766
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9138
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15252
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10569
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26689
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41260
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33720
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5996
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7189
265.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5191
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
3048
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5476
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5437
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5174
89.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9596
165.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9476
163.8 IPS |
