iPad17,3
Geekbench AI Score
13154
Single Precision Score
23160
Half Precision Score
23058
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 09:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6150
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10379
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9666
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9967
161.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15093
244.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16558
268.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
36960
43.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
89017
103.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104324
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
6300
499.7 IPS |
|
|
Object Detection (HP)
|
100% |
10906
865.1 IPS |
|
|
Object Detection (Q)
|
93% |
9900
789.8 IPS |
|
|
Face Detection (SP)
|
100% |
18363
218.2 IPS |
|
|
Face Detection (HP)
|
100% |
32040
380.7 IPS |
|
|
Face Detection (Q)
|
100% |
26193
311.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
27459
211.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50338
387.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
51045
398.5 IPS |
|
|
Style Transfer (SP)
|
100% |
77672
99.8 IPS |
|
|
Style Transfer (HP)
|
100% |
162204
208.5 IPS |
|
|
Style Transfer (Q)
|
96% |
196982
254.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15300
564.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30750
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28188
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3017
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5620
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5437
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
6013
103.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6459
111.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6368
110.0 IPS |
