iPad17,3
Geekbench AI Score
7245
Single Precision Score
15114
Half Precision Score
14565
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 01:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 2.22 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4262
792.5 IPS |
|
|
Image Classification (HP)
|
100% |
8293
1.54 KIPS |
|
|
Image Classification (Q)
|
97% |
7425
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7655
124.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13597
220.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15221
246.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16279
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
59818
69.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
71212
83.5 IPS |
|
|
Object Detection (SP)
|
100% |
3716
294.7 IPS |
|
|
Object Detection (HP)
|
100% |
8692
689.5 IPS |
|
|
Object Detection (Q)
|
93% |
6288
501.6 IPS |
|
|
Face Detection (SP)
|
100% |
9827
116.8 IPS |
|
|
Face Detection (HP)
|
100% |
23110
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
16295
193.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17577
135.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
41828
322.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
40776
318.4 IPS |
|
|
Style Transfer (SP)
|
100% |
46919
60.3 IPS |
|
|
Style Transfer (HP)
|
100% |
117350
150.9 IPS |
|
|
Style Transfer (Q)
|
96% |
149845
193.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12640
466.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26477
977.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24130
891.0 IPS |
|
|
Text Classification (SP)
|
100% |
1157
1.54 KIPS |
|
|
Text Classification (HP)
|
99% |
3025
4.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2998
4.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1704
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1168
20.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1179
20.4 IPS |
