iPhone 15 Pro
Geekbench AI Score
5121
Single Precision Score
6005
Half Precision Score
5549
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 29 2025 01:14 PM |
| Views | 1 |
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% |
2100
390.5 IPS |
|
|
Image Classification (HP)
|
100% |
1999
371.8 IPS |
|
|
Image Classification (Q)
|
96% |
1550
289.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3689
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4233
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4099
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13530
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14688
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14385
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2424
192.3 IPS |
|
|
Object Detection (HP)
|
100% |
2726
216.2 IPS |
|
|
Object Detection (Q)
|
92% |
2627
209.7 IPS |
|
|
Face Detection (SP)
|
100% |
6542
77.7 IPS |
|
|
Face Detection (HP)
|
100% |
8910
105.9 IPS |
|
|
Face Detection (Q)
|
100% |
6978
82.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11200
86.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12107
93.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
11525
90.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28062
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32534
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31470
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5720
211.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5997
221.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5576
205.9 IPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5794
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5732
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1478
25.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1427
24.7 IPS |
