iPad17,1
Geekbench AI Score
13206
Single Precision Score
23260
Half Precision Score
23271
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 22 2025 06:04 PM |
| Views | 2 |
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 | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6115
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10366
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9745
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9977
161.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15256
247.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16732
271.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37330
43.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
89888
104.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105678
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
6317
501.1 IPS |
|
|
Object Detection (HP)
|
100% |
10930
867.0 IPS |
|
|
Object Detection (Q)
|
93% |
9735
776.6 IPS |
|
|
Face Detection (SP)
|
100% |
18346
218.0 IPS |
|
|
Face Detection (HP)
|
100% |
32277
383.5 IPS |
|
|
Face Detection (Q)
|
100% |
26157
310.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27524
212.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
50461
388.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
51314
400.6 IPS |
|
|
Style Transfer (SP)
|
100% |
78784
101.3 IPS |
|
|
Style Transfer (HP)
|
100% |
164073
210.9 IPS |
|
|
Style Transfer (Q)
|
96% |
199912
258.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15374
567.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30764
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28463
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3076
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
5564
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5566
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5964
102.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6524
112.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6534
112.9 IPS |
