iPad17,3
Geekbench AI Score
5288
Single Precision Score
41409
Half Precision Score
57364
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Aaronage |
| Upload Date | October 22 2025 09:46 AM |
| Views | 17 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2294
426.6 IPS |
|
|
Image Classification (HP)
|
100% |
18150
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
24114
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2208
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23970
388.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33051
535.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11359
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
178108
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
329233
385.9 IPS |
|
|
Object Detection (SP)
|
100% |
2649
210.1 IPS |
|
|
Object Detection (HP)
|
100% |
18316
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26575
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4798
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
46605
553.8 IPS |
|
|
Face Detection (Q)
|
100% |
66067
785.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9088
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
111855
861.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
185061
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
27359
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
271974
349.6 IPS |
|
|
Style Transfer (Q)
|
96% |
373619
482.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5982
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62821
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99986
3.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6587
8.79 KIPS |
|
|
Text Classification (Q)
|
93% |
6534
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5167
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17805
306.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18543
320.4 IPS |
