iPad17,3
Geekbench AI Score
13259
Single Precision Score
23157
Half Precision Score
23250
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | ikristof |
| Upload Date | January 09 2026 07:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6089
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
10152
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
9713
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9946
161.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15066
244.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16620
269.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
36807
42.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
88907
103.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
103995
121.9 IPS |
|
|
Object Detection (SP)
|
100% |
6336
502.6 IPS |
|
|
Object Detection (HP)
|
100% |
11068
877.9 IPS |
|
|
Object Detection (Q)
|
93% |
9833
784.4 IPS |
|
|
Face Detection (SP)
|
100% |
18373
218.3 IPS |
|
|
Face Detection (HP)
|
100% |
31986
380.1 IPS |
|
|
Face Detection (Q)
|
100% |
26273
312.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
27419
211.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
50056
385.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
50983
398.1 IPS |
|
|
Style Transfer (SP)
|
100% |
77289
99.4 IPS |
|
|
Style Transfer (HP)
|
100% |
163070
209.6 IPS |
|
|
Style Transfer (Q)
|
96% |
198125
255.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15336
566.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30560
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28084
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5519
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5579
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6199
106.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6692
115.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6726
116.2 IPS |
