iPad15,3
Geekbench AI Score
4136
Single Precision Score
7095
Half Precision Score
5731
Quantized Score
Geekbench AI 1.3.0-Beta2 for iOS AArch64
Result Information
| Upload Date | April 10 2025 03:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1611
299.5 IPS |
|
|
Image Classification (HP)
|
100% |
2992
556.4 IPS |
|
|
Image Classification (Q)
|
96% |
2099
392.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1910
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2975
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3262
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8936
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17537
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15108
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
97% |
3229
257.1 IPS |
|
|
Object Detection (Q)
|
94% |
2338
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
3544
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6863
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
3996
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7171
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12824
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9048
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22545
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34561
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28651
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5258
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6138
226.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4472
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5351
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5304
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3271
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6422
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6438
111.3 IPS |
