iPad17,2
Geekbench AI Score
13276
Single Precision Score
23459
Half Precision Score
23539
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 03:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| 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% |
6105
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10479
1.95 KIPS |
|
|
Image Classification (Q)
|
97% |
9727
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10012
162.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15300
248.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16812
272.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
37523
43.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
89825
104.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106028
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
6344
503.2 IPS |
|
|
Object Detection (HP)
|
100% |
10913
865.6 IPS |
|
|
Object Detection (Q)
|
93% |
9848
785.7 IPS |
|
|
Face Detection (SP)
|
100% |
18398
218.6 IPS |
|
|
Face Detection (HP)
|
100% |
32417
385.2 IPS |
|
|
Face Detection (Q)
|
100% |
26548
315.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27690
213.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
50810
391.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
51618
403.0 IPS |
|
|
Style Transfer (SP)
|
100% |
78414
100.8 IPS |
|
|
Style Transfer (HP)
|
100% |
164459
211.4 IPS |
|
|
Style Transfer (Q)
|
96% |
201687
260.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15485
571.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31045
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29063
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3050
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5617
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5613
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
6197
106.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6802
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6784
117.2 IPS |
