iPad17,3
Geekbench AI Score
5314
Single Precision Score
41609
Half Precision Score
57339
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 22 2025 06:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2276
423.2 IPS |
|
|
Image Classification (HP)
|
100% |
18120
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
23733
4.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23947
388.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32821
532.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11039
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178125
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
332993
390.3 IPS |
|
|
Object Detection (SP)
|
100% |
2648
210.0 IPS |
|
|
Object Detection (HP)
|
100% |
18542
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26567
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4764
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
46780
555.9 IPS |
|
|
Face Detection (Q)
|
100% |
66192
786.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9095
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
110364
850.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
185513
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
27587
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
272273
350.0 IPS |
|
|
Style Transfer (Q)
|
96% |
367482
474.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5999
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63140
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99796
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6952
9.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6768
9.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5101
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17592
303.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18292
316.1 IPS |
