iPad17,2
Geekbench AI Score
13263
Single Precision Score
23254
Half Precision Score
23272
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | March 07 2026 03:52 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5936
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
8536
1.59 KIPS |
|
|
Image Classification (Q)
|
99% |
6925
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9890
160.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14989
243.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16230
263.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
36378
42.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
87491
102.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
117120
137.3 IPS |
|
|
Object Detection (SP)
|
100% |
6277
497.9 IPS |
|
|
Object Detection (HP)
|
100% |
11017
873.9 IPS |
|
|
Object Detection (Q)
|
94% |
11194
892.5 IPS |
|
|
Face Detection (SP)
|
100% |
18352
218.1 IPS |
|
|
Face Detection (HP)
|
100% |
33958
403.5 IPS |
|
|
Face Detection (Q)
|
100% |
32684
388.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27374
210.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51352
395.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
54750
427.4 IPS |
|
|
Style Transfer (SP)
|
100% |
75931
97.6 IPS |
|
|
Style Transfer (HP)
|
100% |
160647
206.5 IPS |
|
|
Style Transfer (Q)
|
96% |
207784
268.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15657
578.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29410
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21954
810.6 IPS |
|
|
Text Classification (SP)
|
100% |
3403
4.54 KIPS |
|
|
Text Classification (HP)
|
99% |
5636
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5278
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
6186
106.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8075
139.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7340
126.8 IPS |
