iPhone 15 Pro
Geekbench AI Score
3233
Single Precision Score
5961
Half Precision Score
4916
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 11:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1356
252.1 IPS |
|
|
Image Classification (HP)
|
100% |
2654
493.6 IPS |
|
|
Image Classification (Q)
|
96% |
1993
372.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2564
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6153
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
12622
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11333
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (HP)
|
97% |
2724
216.9 IPS |
|
|
Object Detection (Q)
|
94% |
1943
154.9 IPS |
|
|
Face Detection (SP)
|
100% |
2712
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
5679
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3168
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5573
42.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10778
83.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7578
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16780
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27959
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23053
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3758
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5098
188.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3736
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5593
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5587
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2730
47.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6443
111.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6346
109.7 IPS |
