iPad17,1
Geekbench AI Score
13394
Single Precision Score
24000
Half Precision Score
25161
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | victoriggy |
| Upload Date | February 14 2026 11:33 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6045
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
10351
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
10446
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9933
161.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15257
247.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16461
266.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
36961
43.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
88967
103.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
117243
137.4 IPS |
|
|
Object Detection (SP)
|
100% |
6401
507.7 IPS |
|
|
Object Detection (HP)
|
100% |
11184
887.1 IPS |
|
|
Object Detection (Q)
|
94% |
11768
938.3 IPS |
|
|
Face Detection (SP)
|
100% |
19027
226.1 IPS |
|
|
Face Detection (HP)
|
100% |
34656
411.8 IPS |
|
|
Face Detection (Q)
|
100% |
33571
398.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27495
211.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51836
399.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
54757
427.5 IPS |
|
|
Style Transfer (SP)
|
100% |
77936
100.2 IPS |
|
|
Style Transfer (HP)
|
100% |
162659
209.1 IPS |
|
|
Style Transfer (Q)
|
96% |
205752
265.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15222
562.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29636
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27882
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3047
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5557
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5374
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6918
119.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8385
144.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7565
130.7 IPS |
