iPad17,2
Geekbench AI Score
13202
Single Precision Score
23129
Half Precision Score
23233
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 07:46 PM |
| Views | 1 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6176
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10474
1.95 KIPS |
|
|
Image Classification (Q)
|
97% |
9758
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9975
161.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15122
245.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16651
269.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37209
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
89463
104.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105332
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
6274
497.7 IPS |
|
|
Object Detection (HP)
|
100% |
10841
859.9 IPS |
|
|
Object Detection (Q)
|
93% |
9764
779.0 IPS |
|
|
Face Detection (SP)
|
100% |
18008
214.0 IPS |
|
|
Face Detection (HP)
|
100% |
31953
379.7 IPS |
|
|
Face Detection (Q)
|
100% |
25904
307.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27449
211.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
50758
391.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
51123
399.2 IPS |
|
|
Style Transfer (SP)
|
100% |
77547
99.7 IPS |
|
|
Style Transfer (HP)
|
100% |
163717
210.5 IPS |
|
|
Style Transfer (Q)
|
96% |
199721
257.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15328
566.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30451
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28402
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3118
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
5414
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5593
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
6108
105.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6515
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6528
112.8 IPS |
