iPhone 15 Pro
Geekbench AI Score
4017
Single Precision Score
6907
Half Precision Score
5652
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 03:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1721
320.0 IPS |
|
|
Image Classification (HP)
|
100% |
2910
541.2 IPS |
|
|
Image Classification (Q)
|
96% |
2013
375.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3078
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8210
9.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
16743
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14570
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1795
142.4 IPS |
|
|
Object Detection (HP)
|
97% |
3359
267.4 IPS |
|
|
Object Detection (Q)
|
94% |
2364
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6856
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
3918
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7222
55.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13617
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9394
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21789
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32784
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27890
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5118
189.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5854
216.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4480
165.4 IPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5677
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5566
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3138
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6133
106.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6099
105.4 IPS |
