iPhone 15 Pro
Geekbench AI Score
3827
Single Precision Score
6831
Half Precision Score
5603
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 11:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1661
308.9 IPS |
|
|
Image Classification (HP)
|
100% |
2978
553.7 IPS |
|
|
Image Classification (Q)
|
96% |
2037
380.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1570
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3035
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7509
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
15489
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13526
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.8 IPS |
|
|
Object Detection (HP)
|
97% |
3332
265.3 IPS |
|
|
Object Detection (Q)
|
94% |
2360
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6709
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3749
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6680
51.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12716
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8846
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20284
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33041
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27222
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4594
169.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5615
207.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4334
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5635
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5661
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3169
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6951
120.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6979
120.6 IPS |
