iPhone 15 Pro
Geekbench AI Score
5071
Single Precision Score
5898
Half Precision Score
5414
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 05:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
1986
369.3 IPS |
|
|
Image Classification (Q)
|
96% |
1594
297.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3740
60.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4150
67.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4011
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13065
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14305
16.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14011
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.9 IPS |
|
|
Object Detection (HP)
|
100% |
2712
215.1 IPS |
|
|
Object Detection (Q)
|
92% |
2420
193.1 IPS |
|
|
Face Detection (SP)
|
100% |
6450
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
8510
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
6579
78.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11008
84.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11858
91.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11089
86.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26848
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31425
40.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30683
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5741
212.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5841
215.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5394
199.2 IPS |
|
|
Text Classification (SP)
|
100% |
3302
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
5848
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5735
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1471
25.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1443
24.9 IPS |
