iPad17,1
Geekbench AI Score
13279
Single Precision Score
23415
Half Precision Score
23545
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | zypher666 |
| Upload Date | December 29 2025 06:18 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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6153
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10372
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9676
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9988
161.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15484
251.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16798
272.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37583
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
90560
105.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106463
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
6321
501.4 IPS |
|
|
Object Detection (HP)
|
100% |
10953
868.8 IPS |
|
|
Object Detection (Q)
|
93% |
9896
789.5 IPS |
|
|
Face Detection (SP)
|
100% |
18501
219.8 IPS |
|
|
Face Detection (HP)
|
100% |
32353
384.4 IPS |
|
|
Face Detection (Q)
|
100% |
26349
313.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27737
213.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
50724
390.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
51919
405.4 IPS |
|
|
Style Transfer (SP)
|
100% |
78263
100.6 IPS |
|
|
Style Transfer (HP)
|
100% |
164411
211.4 IPS |
|
|
Style Transfer (Q)
|
96% |
202008
260.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15512
572.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30748
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28657
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5549
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5586
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6225
107.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6756
116.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6914
119.5 IPS |
