iPad15,3
Geekbench AI Score
4136
Single Precision Score
31143
Half Precision Score
34703
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Fusedstamen |
| Upload Date | June 23 2025 08:08 PM |
| Views | 5 |
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% |
1588
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
17304
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
19788
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1890
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21937
355.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27074
438.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8901
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121632
141.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
121256
142.1 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
100% |
19002
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
20293
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3572
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
39070
464.2 IPS |
|
|
Face Detection (Q)
|
100% |
50664
602.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7118
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97618
752.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
122955
961.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22453
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
229106
294.5 IPS |
|
|
Style Transfer (Q)
|
96% |
221286
285.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5237
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46610
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55549
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2988
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5301
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5300
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3372
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4531
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4736
81.9 IPS |
