iPhone 15 Pro
Geekbench AI Score
3115
Single Precision Score
3882
Half Precision Score
3797
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 15 2025 11:35 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
805
149.6 IPS |
|
|
Image Classification (HP)
|
100% |
852
158.4 IPS |
|
|
Image Classification (Q)
|
96% |
779
145.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2669
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3462
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4122
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6979
8.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
7900
9.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
7915
9.27 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.4 IPS |
|
|
Object Detection (HP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (Q)
|
92% |
1380
110.1 IPS |
|
|
Face Detection (SP)
|
100% |
4231
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
5180
61.5 IPS |
|
|
Face Detection (Q)
|
100% |
5022
59.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6810
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10224
78.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9983
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18505
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32110
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30336
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4094
151.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3758
138.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3322
122.7 IPS |
|
|
Text Classification (SP)
|
100% |
1514
2.02 KIPS |
|
|
Text Classification (HP)
|
99% |
2605
3.48 KIPS |
|
|
Text Classification (Q)
|
93% |
2585
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1361
23.5 IPS |
