iPad17,3
Geekbench AI Score
5244
Single Precision Score
8390
Half Precision Score
6647
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 05 2025 01:52 AM |
| Views | 1 |
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 | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2248
418.1 IPS |
|
|
Image Classification (HP)
|
100% |
3703
688.6 IPS |
|
|
Image Classification (Q)
|
96% |
2472
461.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2335
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3376
54.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3615
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11008
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20617
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17625
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2629
208.5 IPS |
|
|
Object Detection (HP)
|
97% |
4154
330.7 IPS |
|
|
Object Detection (Q)
|
94% |
2842
226.5 IPS |
|
|
Face Detection (SP)
|
100% |
4667
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
8115
96.4 IPS |
|
|
Face Detection (Q)
|
100% |
4680
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9012
69.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15033
116.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10451
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26871
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40836
52.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33497
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5955
219.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7353
271.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5179
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5983
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
6030
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4714
81.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7370
127.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7352
127.0 IPS |
