iPad17,1
Geekbench AI Score
5325
Single Precision Score
41084
Half Precision Score
56810
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 04:01 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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2298
427.3 IPS |
|
|
Image Classification (HP)
|
100% |
18028
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
23170
4.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2372
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23819
386.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32778
531.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11076
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178229
208.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
332618
389.8 IPS |
|
|
Object Detection (SP)
|
100% |
2676
212.3 IPS |
|
|
Object Detection (HP)
|
100% |
17949
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26629
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4776
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
46894
557.2 IPS |
|
|
Face Detection (Q)
|
100% |
66615
791.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9125
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110589
852.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
175326
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
27561
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271765
349.4 IPS |
|
|
Style Transfer (Q)
|
96% |
366358
472.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62769
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
98850
3.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3094
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
6401
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6713
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5090
87.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17613
303.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18334
316.8 IPS |
