iPhone 15 Pro
Geekbench AI Score
5076
Single Precision Score
5960
Half Precision Score
5546
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | barrcharlesgb |
| Upload Date | January 29 2025 02:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2267
421.5 IPS |
|
|
Image Classification (HP)
|
100% |
2337
434.7 IPS |
|
|
Image Classification (Q)
|
97% |
2135
398.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2952
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3765
61.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3814
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13557
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14426
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13618
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2551
202.3 IPS |
|
|
Object Detection (HP)
|
100% |
2759
218.9 IPS |
|
|
Object Detection (Q)
|
91% |
2418
193.2 IPS |
|
|
Face Detection (SP)
|
100% |
6499
77.2 IPS |
|
|
Face Detection (HP)
|
100% |
8479
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
6077
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11296
87.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12146
93.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10354
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27837
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32220
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30659
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6074
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6455
238.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5077
187.5 IPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5678
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5594
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1329
22.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1877
32.4 IPS |
