iPhone 15 Pro
Geekbench AI Score
5182
Single Precision Score
5909
Half Precision Score
5579
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 07 2025 05:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2087
388.1 IPS |
|
|
Image Classification (HP)
|
100% |
1892
351.9 IPS |
|
|
Image Classification (Q)
|
96% |
1799
335.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3692
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4263
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4121
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13566
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14627
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14349
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2531
200.8 IPS |
|
|
Object Detection (HP)
|
100% |
2712
215.2 IPS |
|
|
Object Detection (Q)
|
92% |
2452
195.7 IPS |
|
|
Face Detection (SP)
|
100% |
6360
75.6 IPS |
|
|
Face Detection (HP)
|
100% |
8698
103.4 IPS |
|
|
Face Detection (Q)
|
100% |
6847
81.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11287
87.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12153
93.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11493
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27530
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32398
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31343
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5911
218.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5977
220.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5509
203.4 IPS |
|
|
Text Classification (SP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5763
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5947
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1377
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1377
23.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1386
24.0 IPS |
