iPad15,3
Geekbench AI Score
4163
Single Precision Score
26641
Half Precision Score
31478
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 08 2025 04:28 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1583
294.5 IPS |
|
|
Image Classification (HP)
|
100% |
13921
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
15612
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1889
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21847
354.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27338
443.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8911
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
113758
132.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
113721
133.3 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.3 IPS |
|
|
Object Detection (HP)
|
100% |
11067
877.8 IPS |
|
|
Object Detection (Q)
|
91% |
19110
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3562
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
39399
468.2 IPS |
|
|
Face Detection (Q)
|
100% |
51400
610.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7166
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
65708
506.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
89411
699.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22468
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205598
264.3 IPS |
|
|
Style Transfer (Q)
|
96% |
201215
259.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5253
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35694
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43680
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5698
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5687
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3332
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4346
74.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4483
77.5 IPS |
