iPhone 15 Pro
Geekbench AI Score
3919
Single Precision Score
6919
Half Precision Score
5669
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 06 2025 08:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1694
315.1 IPS |
|
|
Image Classification (HP)
|
100% |
2977
553.6 IPS |
|
|
Image Classification (Q)
|
96% |
2035
380.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3052
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7763
9.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
16175
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13982
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1779
141.1 IPS |
|
|
Object Detection (HP)
|
97% |
3331
265.2 IPS |
|
|
Object Detection (Q)
|
94% |
2372
189.1 IPS |
|
|
Face Detection (SP)
|
100% |
3167
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6787
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3830
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6900
53.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12830
99.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8998
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20864
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33669
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27478
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4747
175.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5708
210.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4419
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5652
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5630
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3241
55.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7091
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7071
122.2 IPS |
