iPhone 15 Pro
Geekbench AI Score
3912
Single Precision Score
6815
Half Precision Score
5574
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Wierzbi |
| Upload Date | March 08 2025 07:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1700
316.1 IPS |
|
|
Image Classification (HP)
|
100% |
2956
549.7 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3084
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7872
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
16121
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13927
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1762
139.7 IPS |
|
|
Object Detection (HP)
|
97% |
3347
266.4 IPS |
|
|
Object Detection (Q)
|
94% |
2348
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6771
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3870
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6942
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13400
103.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9216
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20809
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32092
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27038
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4839
178.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5802
214.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4362
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5504
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5478
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6090
105.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6113
105.6 IPS |
