iPhone 15 Pro
Geekbench AI Score
1796
Single Precision Score
3037
Half Precision Score
2463
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | finnmund |
| Upload Date | February 06 2025 12:07 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
748
139.1 IPS |
|
|
Image Classification (HP)
|
100% |
1244
231.3 IPS |
|
|
Image Classification (Q)
|
96% |
833
155.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1321
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3658
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
6984
8.15 IPS |
|
|
Pose Estimation (Q)
|
95% |
6304
7.39 IPS |
|
|
Object Detection (SP)
|
100% |
753
59.7 IPS |
|
|
Object Detection (HP)
|
97% |
1463
116.5 IPS |
|
|
Object Detection (Q)
|
94% |
1035
82.5 IPS |
|
|
Face Detection (SP)
|
100% |
1692
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
3051
36.3 IPS |
|
|
Face Detection (Q)
|
100% |
1707
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3039
23.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5806
44.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
4143
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9302
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13899
17.9 IPS |
|
|
Style Transfer (Q)
|
96% |
11886
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2286
84.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2578
95.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1841
68.0 IPS |
|
|
Text Classification (SP)
|
100% |
1379
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2409
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1447
24.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3060
52.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3070
53.0 IPS |
