iPad17,3
Geekbench AI Score
12765
Single Precision Score
22794
Half Precision Score
22874
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 11:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
6133
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10178
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
9524
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9939
161.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15309
248.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16797
272.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37594
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
90201
105.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105789
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
6318
501.1 IPS |
|
|
Object Detection (HP)
|
100% |
10884
863.3 IPS |
|
|
Object Detection (Q)
|
93% |
9870
787.4 IPS |
|
|
Face Detection (SP)
|
100% |
18540
220.3 IPS |
|
|
Face Detection (HP)
|
100% |
32225
382.9 IPS |
|
|
Face Detection (Q)
|
100% |
26656
316.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27701
213.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51087
393.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
51695
403.6 IPS |
|
|
Style Transfer (SP)
|
100% |
78787
101.3 IPS |
|
|
Style Transfer (HP)
|
100% |
164340
211.3 IPS |
|
|
Style Transfer (Q)
|
96% |
200802
259.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15489
571.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30779
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28811
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2050
2.74 KIPS |
|
|
Text Classification (HP)
|
99% |
5579
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5485
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6178
106.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5328
91.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5369
92.8 IPS |
