iPad17,3
Geekbench AI Score
13323
Single Precision Score
23262
Half Precision Score
23361
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 05 2026 07:43 PM |
| Views | 1 |
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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6120
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10096
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
9751
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9982
161.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15187
246.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16691
270.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37252
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
89572
104.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105813
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
6317
501.1 IPS |
|
|
Object Detection (HP)
|
100% |
10956
869.0 IPS |
|
|
Object Detection (Q)
|
93% |
9872
787.6 IPS |
|
|
Face Detection (SP)
|
100% |
18511
219.9 IPS |
|
|
Face Detection (HP)
|
100% |
32297
383.8 IPS |
|
|
Face Detection (Q)
|
100% |
26402
313.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27665
213.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
50672
390.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
51520
402.2 IPS |
|
|
Style Transfer (SP)
|
100% |
78601
101.0 IPS |
|
|
Style Transfer (HP)
|
100% |
164331
211.3 IPS |
|
|
Style Transfer (Q)
|
96% |
199433
257.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15681
579.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30905
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28682
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3149
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
5572
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5475
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
6171
106.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6658
114.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6684
115.5 IPS |
