iPad17,1
Geekbench AI Score
12697
Single Precision Score
22826
Half Precision Score
22868
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 03:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6121
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10236
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
9698
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9962
161.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15349
248.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16758
271.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37429
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
90442
105.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105965
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
6300
499.7 IPS |
|
|
Object Detection (HP)
|
100% |
10906
865.1 IPS |
|
|
Object Detection (Q)
|
93% |
9828
784.1 IPS |
|
|
Face Detection (SP)
|
100% |
18237
216.7 IPS |
|
|
Face Detection (HP)
|
100% |
31995
380.2 IPS |
|
|
Face Detection (Q)
|
100% |
26114
310.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27719
213.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50717
390.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
51811
404.5 IPS |
|
|
Style Transfer (SP)
|
100% |
78055
100.3 IPS |
|
|
Style Transfer (HP)
|
100% |
164214
211.1 IPS |
|
|
Style Transfer (Q)
|
96% |
202000
260.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15535
573.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30896
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29051
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2026
2.70 KIPS |
|
|
Text Classification (HP)
|
99% |
5636
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5456
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
6103
105.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5340
92.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5335
92.2 IPS |
