iPad17,1
Geekbench AI Score
5334
Single Precision Score
41118
Half Precision Score
57413
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 12:14 PM |
| Views | 1 |
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% |
2300
427.7 IPS |
|
|
Image Classification (HP)
|
100% |
17955
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
25020
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2304
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24190
392.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33841
548.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11053
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178272
208.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
328477
385.0 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.4 IPS |
|
|
Object Detection (HP)
|
100% |
17789
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26404
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
46576
553.4 IPS |
|
|
Face Detection (Q)
|
100% |
66078
785.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9108
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110840
854.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
174119
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
27626
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271338
348.8 IPS |
|
|
Style Transfer (Q)
|
96% |
374094
482.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5996
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63081
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99615
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
6397
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6649
8.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5162
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17745
305.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18588
321.2 IPS |
