iPad17,3
Geekbench AI Score
5324
Single Precision Score
41362
Half Precision Score
57940
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 06:57 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2293
426.4 IPS |
|
|
Image Classification (HP)
|
100% |
18402
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
24346
4.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24092
390.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33965
550.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11362
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
177688
207.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
333186
390.5 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.6 IPS |
|
|
Object Detection (HP)
|
100% |
18073
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
27553
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
4805
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
46583
553.5 IPS |
|
|
Face Detection (Q)
|
100% |
68061
808.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9110
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110657
852.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
177886
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
27596
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271711
349.3 IPS |
|
|
Style Transfer (Q)
|
96% |
373974
482.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63429
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99761
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3063
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
6524
8.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6728
9.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5130
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17765
306.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18483
319.4 IPS |
