iPhone 15 Pro
Geekbench AI Score
5048
Single Precision Score
6081
Half Precision Score
5391
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | barrcharlesgb |
| Upload Date | January 29 2025 03:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2125
395.2 IPS |
|
|
Image Classification (HP)
|
100% |
2406
447.5 IPS |
|
|
Image Classification (Q)
|
97% |
2047
382.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2932
47.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3758
60.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3792
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13567
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14273
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13602
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
2959
234.7 IPS |
|
|
Object Detection (Q)
|
91% |
2365
189.0 IPS |
|
|
Face Detection (SP)
|
100% |
6615
78.6 IPS |
|
|
Face Detection (HP)
|
100% |
9203
109.4 IPS |
|
|
Face Detection (Q)
|
100% |
6424
76.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11489
88.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12522
96.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10820
84.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28094
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32607
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30943
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6087
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6337
234.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4888
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5589
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5548
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1361
23.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1426
24.6 IPS |
