iPad17,1
Geekbench AI Score
5294
Single Precision Score
41367
Half Precision Score
57632
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 10:52 PM |
| Views | 1 |
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% |
2286
425.1 IPS |
|
|
Image Classification (HP)
|
100% |
17827
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
23023
4.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24080
390.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
34402
557.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10970
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
179013
208.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
334668
392.3 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
100% |
18834
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
27152
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
46963
558.0 IPS |
|
|
Face Detection (Q)
|
100% |
66612
791.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9115
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110520
851.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
177553
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
27441
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271386
348.9 IPS |
|
|
Style Transfer (Q)
|
96% |
373644
482.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62863
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101016
3.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2988
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6475
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6837
9.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5144
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17687
304.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18403
318.0 IPS |
