iPad17,2
Geekbench AI Score
10733
Single Precision Score
19353
Half Precision Score
20585
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 02:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6136
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10165
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
9223
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9939
161.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14941
242.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16154
261.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19735
23.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
49366
57.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
92962
109.0 IPS |
|
|
Object Detection (SP)
|
100% |
4509
357.7 IPS |
|
|
Object Detection (HP)
|
100% |
8204
650.7 IPS |
|
|
Object Detection (Q)
|
93% |
8215
655.4 IPS |
|
|
Face Detection (SP)
|
100% |
11558
137.3 IPS |
|
|
Face Detection (HP)
|
100% |
21211
252.0 IPS |
|
|
Face Detection (Q)
|
100% |
17021
202.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18479
142.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
38188
294.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
41991
327.8 IPS |
|
|
Style Transfer (SP)
|
100% |
74427
95.7 IPS |
|
|
Style Transfer (HP)
|
100% |
163182
209.8 IPS |
|
|
Style Transfer (Q)
|
96% |
182162
235.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15417
569.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26535
979.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28132
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
5409
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5366
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5162
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6317
108.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6112
105.6 IPS |
