iPad17,3
Geekbench AI Score
5276
Single Precision Score
8609
Half Precision Score
6828
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 11:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2284
424.7 IPS |
|
|
Image Classification (HP)
|
100% |
3730
693.8 IPS |
|
|
Image Classification (Q)
|
96% |
2523
471.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3231
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3542
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10970
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20857
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17845
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2659
210.9 IPS |
|
|
Object Detection (HP)
|
97% |
4215
335.6 IPS |
|
|
Object Detection (Q)
|
94% |
2936
234.0 IPS |
|
|
Face Detection (SP)
|
100% |
4791
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8473
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4740
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9108
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15294
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10584
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27639
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41422
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33794
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5979
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7241
267.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5227
193.0 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5590
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5525
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5003
86.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9723
168.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9610
166.1 IPS |
