iPad17,2
Geekbench AI Score
5330
Single Precision Score
8619
Half Precision Score
6845
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Segura |
| Upload Date | November 04 2025 10:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2289
425.6 IPS |
|
|
Image Classification (HP)
|
100% |
3693
686.8 IPS |
|
|
Image Classification (Q)
|
96% |
2488
464.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3421
55.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3760
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11326
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20693
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17819
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
97% |
4229
336.7 IPS |
|
|
Object Detection (Q)
|
94% |
2932
233.7 IPS |
|
|
Face Detection (SP)
|
100% |
4820
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8507
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4710
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9068
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15195
117.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10566
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27169
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41441
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33788
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6040
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7286
269.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5161
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
3083
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
5467
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5461
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5218
89.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9593
165.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9762
168.7 IPS |
