iPhone 15 Pro
Geekbench AI Score
4037
Single Precision Score
7058
Half Precision Score
5756
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 11:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1661
308.9 IPS |
|
|
Image Classification (HP)
|
100% |
2950
548.6 IPS |
|
|
Image Classification (Q)
|
96% |
2030
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3061
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8649
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17374
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14828
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
97% |
3369
268.2 IPS |
|
|
Object Detection (Q)
|
94% |
2389
190.4 IPS |
|
|
Face Detection (SP)
|
100% |
3268
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6919
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
3888
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7020
54.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12995
100.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9109
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22250
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34797
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28833
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5099
188.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5781
213.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4489
165.8 IPS |
|
|
Text Classification (SP)
|
100% |
3248
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5834
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5614
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3236
55.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7076
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7056
121.9 IPS |
