iPhone 15 Pro
Geekbench AI Score
3801
Single Precision Score
6757
Half Precision Score
5547
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 18 2025 04:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1662
309.1 IPS |
|
|
Image Classification (HP)
|
100% |
2960
550.4 IPS |
|
|
Image Classification (Q)
|
96% |
2020
377.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3014
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7316
8.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
14965
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13086
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1712
135.8 IPS |
|
|
Object Detection (HP)
|
97% |
3248
258.6 IPS |
|
|
Object Detection (Q)
|
94% |
2312
184.3 IPS |
|
|
Face Detection (SP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6633
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3707
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6605
50.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12556
97.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8740
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19646
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32454
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26792
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4420
163.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5560
205.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4263
157.4 IPS |
|
|
Text Classification (SP)
|
100% |
3285
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
5635
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5820
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3164
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6927
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6961
120.3 IPS |
