iPad17,1
Geekbench AI Score
13230
Single Precision Score
23258
Half Precision Score
23343
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 02:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6124
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10314
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9649
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9933
161.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15199
246.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16742
271.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37366
43.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
89766
104.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105748
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
6306
500.2 IPS |
|
|
Object Detection (HP)
|
100% |
10943
868.0 IPS |
|
|
Object Detection (Q)
|
93% |
9876
787.9 IPS |
|
|
Face Detection (SP)
|
100% |
18555
220.5 IPS |
|
|
Face Detection (HP)
|
100% |
32423
385.3 IPS |
|
|
Face Detection (Q)
|
100% |
26353
313.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27640
212.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
50856
391.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
51705
403.7 IPS |
|
|
Style Transfer (SP)
|
100% |
78674
101.1 IPS |
|
|
Style Transfer (HP)
|
100% |
164163
211.0 IPS |
|
|
Style Transfer (Q)
|
96% |
201137
259.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15345
566.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30741
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28389
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5483
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5503
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
6110
105.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6594
113.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6650
114.9 IPS |
