iPad17,3
Geekbench AI Score
4999
Single Precision Score
8648
Half Precision Score
6756
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | pasipple |
| Upload Date | December 10 2025 12:33 AM |
| Views | 8 |
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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2193
407.8 IPS |
|
|
Image Classification (HP)
|
100% |
3668
682.1 IPS |
|
|
Image Classification (Q)
|
96% |
2464
460.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2403
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3516
57.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3763
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9525
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20626
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16324
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2590
205.4 IPS |
|
|
Object Detection (HP)
|
97% |
4107
327.0 IPS |
|
|
Object Detection (Q)
|
94% |
2868
228.6 IPS |
|
|
Face Detection (SP)
|
100% |
4576
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
8263
98.2 IPS |
|
|
Face Detection (Q)
|
100% |
4695
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8269
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14881
115.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10386
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26217
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40611
52.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33334
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4805
177.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7500
277.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5409
199.7 IPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
6449
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5851
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4901
84.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8875
153.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8873
153.3 IPS |
