iPad17,3
Geekbench AI Score
5318
Single Precision Score
8607
Half Precision Score
6810
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 05:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2270
422.2 IPS |
|
|
Image Classification (HP)
|
100% |
3635
676.0 IPS |
|
|
Image Classification (Q)
|
96% |
2468
460.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3448
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3780
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11240
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20895
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17811
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2682
212.7 IPS |
|
|
Object Detection (HP)
|
97% |
4224
336.2 IPS |
|
|
Object Detection (Q)
|
94% |
2930
233.5 IPS |
|
|
Face Detection (SP)
|
100% |
4798
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8466
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4723
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9124
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15207
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10541
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27315
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41300
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33741
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7306
269.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5163
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
3052
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5484
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5364
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5159
88.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9468
163.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9483
163.9 IPS |
