iPad15,3
Geekbench AI Score
4173
Single Precision Score
7077
Half Precision Score
5727
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | aferreiro77 |
| Upload Date | July 08 2025 12:32 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1602
297.9 IPS |
|
|
Image Classification (HP)
|
100% |
2994
556.8 IPS |
|
|
Image Classification (Q)
|
96% |
2089
390.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3060
49.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3403
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8898
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17404
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15080
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1855
147.1 IPS |
|
|
Object Detection (HP)
|
97% |
3319
264.2 IPS |
|
|
Object Detection (Q)
|
94% |
2405
191.7 IPS |
|
|
Face Detection (SP)
|
100% |
3547
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6986
83.0 IPS |
|
|
Face Detection (Q)
|
100% |
4078
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7166
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13562
104.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9388
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22658
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34173
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28451
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5283
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6040
223.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4416
163.1 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5180
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5185
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3537
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5883
101.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5906
102.1 IPS |
