iPad17,3
Geekbench AI Score
13212
Single Precision Score
23168
Half Precision Score
23242
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 22 2025 06:36 PM |
| Views | 3 |
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% |
6100
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
10109
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
9645
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9887
160.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15093
244.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16607
269.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37156
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
89195
104.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105005
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
6278
498.0 IPS |
|
|
Object Detection (HP)
|
100% |
10918
866.0 IPS |
|
|
Object Detection (Q)
|
93% |
9876
787.9 IPS |
|
|
Face Detection (SP)
|
100% |
18100
215.1 IPS |
|
|
Face Detection (HP)
|
100% |
32172
382.3 IPS |
|
|
Face Detection (Q)
|
100% |
26002
309.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27555
212.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
50623
390.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
50948
397.8 IPS |
|
|
Style Transfer (SP)
|
100% |
77786
100.0 IPS |
|
|
Style Transfer (HP)
|
100% |
164240
211.1 IPS |
|
|
Style Transfer (Q)
|
96% |
200092
258.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15485
571.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30560
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28390
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3145
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
5557
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5521
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
6098
105.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6602
113.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6666
115.2 IPS |
