iPhone 15 Pro
Geekbench AI Score
5224
Single Precision Score
6026
Half Precision Score
5510
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | CatCat |
| Upload Date | September 06 2025 07:16 PM |
| Views | 3 |
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% |
2162
402.0 IPS |
|
|
Image Classification (HP)
|
100% |
2054
381.9 IPS |
|
|
Image Classification (Q)
|
96% |
1687
315.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3790
61.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4246
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4133
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13662
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14742
17.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14448
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2497
198.1 IPS |
|
|
Object Detection (HP)
|
100% |
2778
220.4 IPS |
|
|
Object Detection (Q)
|
92% |
2394
191.1 IPS |
|
|
Face Detection (SP)
|
100% |
6550
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
8760
104.1 IPS |
|
|
Face Detection (Q)
|
100% |
6932
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11345
87.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12334
95.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11429
89.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28093
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32040
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31557
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5907
218.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5520
203.8 IPS |
|
|
Text Classification (SP)
|
100% |
3276
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5834
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5802
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1499
25.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1337
23.1 IPS |
