iPad17,3
Geekbench AI Score
5329
Single Precision Score
41362
Half Precision Score
57443
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:25 PM |
| Views | 1 |
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% |
2303
428.3 IPS |
|
|
Image Classification (HP)
|
100% |
18512
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
24059
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2298
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24525
397.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33830
548.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11049
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178390
208.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
328401
384.9 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
100% |
17868
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26371
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4800
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
47127
560.0 IPS |
|
|
Face Detection (Q)
|
100% |
66675
792.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9109
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110685
852.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
183701
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
27546
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
270998
348.4 IPS |
|
|
Style Transfer (Q)
|
96% |
372326
480.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6015
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62977
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
98899
3.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6435
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6711
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5105
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17683
304.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18336
316.9 IPS |
