iPhone 15 Pro
Geekbench AI Score
4986
Single Precision Score
5911
Half Precision Score
5475
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | lumelendez |
| Upload Date | July 07 2025 05:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2089
388.5 IPS |
|
|
Image Classification (HP)
|
100% |
2005
372.9 IPS |
|
|
Image Classification (Q)
|
96% |
1539
287.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3670
59.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4163
67.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4033
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13059
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14468
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14184
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
100% |
2727
216.3 IPS |
|
|
Object Detection (Q)
|
92% |
2600
207.6 IPS |
|
|
Face Detection (SP)
|
100% |
6290
74.7 IPS |
|
|
Face Detection (HP)
|
100% |
8490
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
6477
77.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10978
84.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12015
92.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11248
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26541
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30360
39.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31240
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5810
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5950
219.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5320
196.4 IPS |
|
|
Text Classification (SP)
|
100% |
2830
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
5974
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
6003
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1286
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1437
24.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1456
25.2 IPS |
