iPhone 15 Pro
Geekbench AI Score
3920
Single Precision Score
6976
Half Precision Score
5692
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Myrdingar |
| Upload Date | September 28 2025 08:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1712
318.3 IPS |
|
|
Image Classification (HP)
|
100% |
2996
557.3 IPS |
|
|
Image Classification (Q)
|
96% |
2051
383.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2459
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3037
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7890
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
16588
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14375
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1773
140.7 IPS |
|
|
Object Detection (HP)
|
97% |
3172
252.5 IPS |
|
|
Object Detection (Q)
|
94% |
2365
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3089
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6720
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3777
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6907
53.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12783
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8855
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21103
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33370
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27407
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4806
177.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5911
218.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4459
164.7 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5843
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5880
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3203
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7120
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7025
121.4 IPS |
