iPhone 15 Pro
Geekbench AI Score
3721
Single Precision Score
6712
Half Precision Score
5496
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 06 2025 06:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1605
298.6 IPS |
|
|
Image Classification (HP)
|
100% |
2878
535.2 IPS |
|
|
Image Classification (Q)
|
96% |
2029
379.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1574
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2924
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6927
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
14843
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12925
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1692
134.2 IPS |
|
|
Object Detection (HP)
|
97% |
3252
258.9 IPS |
|
|
Object Detection (Q)
|
94% |
2305
183.8 IPS |
|
|
Face Detection (SP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6534
77.6 IPS |
|
|
Face Detection (Q)
|
100% |
3655
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6489
50.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12513
96.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8796
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19369
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32052
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26115
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4419
163.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5671
209.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4303
158.9 IPS |
|
|
Text Classification (SP)
|
100% |
3165
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5455
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5526
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3171
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7159
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7138
123.4 IPS |
