iPad17,3
Geekbench AI Score
5288
Single Precision Score
41803
Half Precision Score
58546
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 29 2025 04:36 AM |
| 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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2253
418.9 IPS |
|
|
Image Classification (HP)
|
100% |
18642
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
24111
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24420
395.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33851
548.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10954
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177821
207.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
333274
390.6 IPS |
|
|
Object Detection (SP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (HP)
|
100% |
18085
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26710
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4738
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
46929
557.6 IPS |
|
|
Face Detection (Q)
|
100% |
66627
791.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9092
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
110878
854.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
189075
1.48 KIPS |
|
|
Style Transfer (SP)
|
100% |
27057
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
271122
348.5 IPS |
|
|
Style Transfer (Q)
|
96% |
374687
483.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6022
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63545
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
104342
3.85 KIPS |
|
|
Text Classification (SP)
|
100% |
3173
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
6968
9.30 KIPS |
|
|
Text Classification (Q)
|
93% |
7191
9.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5081
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17823
307.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18388
317.8 IPS |
