iPad17,1
Geekbench AI Score
5297
Single Precision Score
41118
Half Precision Score
57145
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 11:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2256
419.5 IPS |
|
|
Image Classification (HP)
|
100% |
18023
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
23815
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24059
390.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33099
536.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11035
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177678
207.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
333134
390.5 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
17924
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26471
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4793
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
46539
553.0 IPS |
|
|
Face Detection (Q)
|
100% |
65883
782.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9097
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
110739
853.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
177745
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
27597
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271589
349.1 IPS |
|
|
Style Transfer (Q)
|
96% |
372646
480.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6023
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63065
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99688
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3046
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
6420
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6702
8.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5116
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17655
304.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18326
316.7 IPS |
