iPad17,1
Geekbench AI Score
5320
Single Precision Score
41186
Half Precision Score
57628
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | harry34x |
| Upload Date | November 15 2025 12:10 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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2279
423.8 IPS |
|
|
Image Classification (HP)
|
100% |
17933
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
24236
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23958
388.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33066
536.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11059
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
176805
206.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
333001
390.3 IPS |
|
|
Object Detection (SP)
|
100% |
2672
211.9 IPS |
|
|
Object Detection (HP)
|
100% |
18144
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26406
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4810
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
47124
559.9 IPS |
|
|
Face Detection (Q)
|
100% |
66784
793.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9150
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110760
853.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
177468
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
27551
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271748
349.3 IPS |
|
|
Style Transfer (Q)
|
96% |
373609
482.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63098
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100604
3.71 KIPS |
|
|
Text Classification (SP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
6443
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6836
9.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5122
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17675
304.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18827
325.4 IPS |
