iPad17,2
Geekbench AI Score
13209
Single Precision Score
23326
Half Precision Score
23406
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 05:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6173
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10377
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9690
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9978
161.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15268
247.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16730
271.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37448
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
89982
105.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106109
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
6289
498.9 IPS |
|
|
Object Detection (HP)
|
100% |
10914
865.7 IPS |
|
|
Object Detection (Q)
|
93% |
9867
787.1 IPS |
|
|
Face Detection (SP)
|
100% |
18155
215.7 IPS |
|
|
Face Detection (HP)
|
100% |
32248
383.2 IPS |
|
|
Face Detection (Q)
|
100% |
26022
309.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
27556
212.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51223
394.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
51504
402.1 IPS |
|
|
Style Transfer (SP)
|
100% |
78547
101.0 IPS |
|
|
Style Transfer (HP)
|
100% |
164113
211.0 IPS |
|
|
Style Transfer (Q)
|
96% |
201063
259.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15393
568.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30684
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28739
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3028
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5568
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5575
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
6087
104.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6619
114.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6737
116.4 IPS |
