iPad17,3
Geekbench AI Score
4771
Single Precision Score
42079
Half Precision Score
57170
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 02:10 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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1581
294.1 IPS |
|
|
Image Classification (HP)
|
100% |
19285
3.59 KIPS |
|
|
Image Classification (Q)
|
97% |
27157
5.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24409
395.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32858
532.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8839
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
176765
206.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
259719
304.4 IPS |
|
|
Object Detection (SP)
|
100% |
2360
187.2 IPS |
|
|
Object Detection (HP)
|
100% |
20432
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
26601
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4308
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
42066
499.8 IPS |
|
|
Face Detection (Q)
|
100% |
68111
809.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7591
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110373
850.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
182845
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
27160
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
268582
345.3 IPS |
|
|
Style Transfer (Q)
|
96% |
367329
474.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5824
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62821
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
95373
3.52 KIPS |
|
|
Text Classification (SP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
7377
9.85 KIPS |
|
|
Text Classification (Q)
|
93% |
7253
9.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5122
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17718
305.2 IPS |
|
|
Machine Translation (Q)
|
98% |
19121
330.4 IPS |
