iPad17,3
Geekbench AI Score
13315
Single Precision Score
23357
Half Precision Score
23460
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | raylee930 |
| Upload Date | December 27 2025 05:14 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6140
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10348
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9756
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10028
162.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15436
250.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16819
272.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37588
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
90819
106.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106418
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
6325
501.7 IPS |
|
|
Object Detection (HP)
|
100% |
10999
872.5 IPS |
|
|
Object Detection (Q)
|
93% |
9990
797.0 IPS |
|
|
Face Detection (SP)
|
100% |
18427
219.0 IPS |
|
|
Face Detection (HP)
|
100% |
32453
385.6 IPS |
|
|
Face Detection (Q)
|
100% |
26282
312.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27762
213.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51006
393.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
52051
406.4 IPS |
|
|
Style Transfer (SP)
|
100% |
78792
101.3 IPS |
|
|
Style Transfer (HP)
|
100% |
165157
212.3 IPS |
|
|
Style Transfer (Q)
|
96% |
202234
261.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15466
571.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30901
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29387
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3151
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5437
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5381
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
6095
105.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6596
113.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6618
114.4 IPS |
