iPad15,3
Geekbench AI Score
3829
Single Precision Score
29790
Half Precision Score
33870
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 31 2025 02:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1472
273.8 IPS |
|
|
Image Classification (HP)
|
100% |
13777
2.56 KIPS |
|
|
Image Classification (Q)
|
97% |
19895
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1858
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22004
356.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27142
440.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8842
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
120989
141.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
121093
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1804
143.1 IPS |
|
|
Object Detection (HP)
|
100% |
18163
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
20512
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3486
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
39230
466.1 IPS |
|
|
Face Detection (Q)
|
100% |
50952
605.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7090
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
97732
753.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
117802
921.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19927
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
227175
292.0 IPS |
|
|
Style Transfer (Q)
|
96% |
221035
285.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4410
162.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44853
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54999
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5336
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5232
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2404
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3964
68.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3881
67.1 IPS |
