iPad17,2
Geekbench AI Score
12679
Single Precision Score
22717
Half Precision Score
22711
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 09:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6158
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10344
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9646
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9963
161.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15301
248.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16715
271.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
37439
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
90180
105.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
106193
124.5 IPS |
|
|
Object Detection (SP)
|
100% |
6289
498.8 IPS |
|
|
Object Detection (HP)
|
100% |
10843
860.1 IPS |
|
|
Object Detection (Q)
|
93% |
9666
771.1 IPS |
|
|
Face Detection (SP)
|
100% |
18129
215.4 IPS |
|
|
Face Detection (HP)
|
100% |
32058
380.9 IPS |
|
|
Face Detection (Q)
|
100% |
25899
307.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27619
212.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50502
389.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
51764
404.2 IPS |
|
|
Style Transfer (SP)
|
100% |
78164
100.5 IPS |
|
|
Style Transfer (HP)
|
100% |
163824
210.6 IPS |
|
|
Style Transfer (Q)
|
96% |
201688
260.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15344
566.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30784
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28552
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2016
2.69 KIPS |
|
|
Text Classification (HP)
|
99% |
5455
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5380
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
6143
105.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5312
91.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5312
91.8 IPS |
