iPad17,3
Geekbench AI Score
5307
Single Precision Score
42567
Half Precision Score
58246
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 01 2025 10:22 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| 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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2278
423.7 IPS |
|
|
Image Classification (HP)
|
100% |
18714
3.48 KIPS |
|
|
Image Classification (Q)
|
97% |
23616
4.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24193
392.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33497
543.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11021
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178384
208.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
333952
391.4 IPS |
|
|
Object Detection (SP)
|
100% |
2681
212.7 IPS |
|
|
Object Detection (HP)
|
100% |
19245
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
27771
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
4775
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
46868
556.9 IPS |
|
|
Face Detection (Q)
|
100% |
66820
794.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9129
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
113448
874.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
177459
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
27019
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
272038
349.7 IPS |
|
|
Style Transfer (Q)
|
96% |
373812
482.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6020
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67012
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101600
3.75 KIPS |
|
|
Text Classification (SP)
|
100% |
3010
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
7166
9.56 KIPS |
|
|
Text Classification (Q)
|
93% |
7384
9.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5224
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
18092
311.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18422
318.4 IPS |
