iPad17,1
Geekbench AI Score
5311
Single Precision Score
41441
Half Precision Score
57655
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 02:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2302
428.1 IPS |
|
|
Image Classification (HP)
|
100% |
18254
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
23756
4.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23985
388.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32772
531.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10980
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177858
207.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
332941
390.2 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
18319
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
27021
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
47061
559.2 IPS |
|
|
Face Detection (Q)
|
100% |
66630
791.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9117
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110849
854.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
187601
1.47 KIPS |
|
|
Style Transfer (SP)
|
100% |
27474
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
272215
349.9 IPS |
|
|
Style Transfer (Q)
|
96% |
374726
483.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64018
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99526
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3036
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
6526
8.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6761
9.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5122
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17652
304.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18385
317.7 IPS |
