iPhone 15 Pro
Geekbench AI Score
4042
Single Precision Score
23932
Half Precision Score
32518
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | barrcharlesgb |
| Upload Date | January 29 2025 04:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1714
318.8 IPS |
|
|
Image Classification (HP)
|
100% |
11223
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
15049
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1656
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15615
253.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20783
336.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8572
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
108210
126.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
203574
238.6 IPS |
|
|
Object Detection (SP)
|
100% |
1830
145.2 IPS |
|
|
Object Detection (HP)
|
100% |
13911
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18915
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
33944
403.3 IPS |
|
|
Face Detection (Q)
|
100% |
50761
603.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7191
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78297
603.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
127751
998.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22062
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
205343
264.0 IPS |
|
|
Style Transfer (Q)
|
96% |
252139
325.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5092
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35807
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56947
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1955
2.61 KIPS |
|
|
Text Classification (Q)
|
93% |
1611
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3144
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6116
105.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7320
126.5 IPS |
