iPhone 15 Pro
Geekbench AI Score
5037
Single Precision Score
6069
Half Precision Score
5593
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cloudit0 |
| Upload Date | January 31 2025 02:22 PM |
| Views | 9 |
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% |
2290
426.0 IPS |
|
|
Image Classification (HP)
|
100% |
2453
456.1 IPS |
|
|
Image Classification (Q)
|
97% |
2461
459.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2890
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3770
61.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3841
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13266
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
13930
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13425
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2449
194.2 IPS |
|
|
Object Detection (HP)
|
100% |
2784
220.8 IPS |
|
|
Object Detection (Q)
|
91% |
2558
204.4 IPS |
|
|
Face Detection (SP)
|
100% |
6487
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
9054
107.6 IPS |
|
|
Face Detection (Q)
|
100% |
6344
75.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11456
88.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12619
97.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10793
84.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27442
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32436
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30818
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6028
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6392
236.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5317
196.3 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5627
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5624
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1463
25.3 IPS |
