iPhone 15 Pro
Geekbench AI Score
3819
Single Precision Score
6814
Half Precision Score
5566
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 06 2025 04:46 PM |
| Views | 2 |
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% |
1659
308.6 IPS |
|
|
Image Classification (HP)
|
100% |
2998
557.6 IPS |
|
|
Image Classification (Q)
|
96% |
2020
377.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2341
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3011
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7477
8.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
15883
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13732
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1730
137.2 IPS |
|
|
Object Detection (HP)
|
97% |
3256
259.2 IPS |
|
|
Object Detection (Q)
|
94% |
2306
183.8 IPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6575
78.1 IPS |
|
|
Face Detection (Q)
|
100% |
3721
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6648
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12711
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8798
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20167
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32765
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26625
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4658
172.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5792
213.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4403
162.6 IPS |
|
|
Text Classification (SP)
|
100% |
3263
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5817
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5731
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3125
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6450
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6737
116.4 IPS |
