iPhone 15 Pro
Geekbench AI Score
3440
Single Precision Score
23900
Half Precision Score
33445
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | stevetsuida |
| Upload Date | January 29 2025 08:45 PM |
| Views | 23 |
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% |
1573
292.6 IPS |
|
|
Image Classification (HP)
|
100% |
11304
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
15503
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16345
265.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20660
334.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6226
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
95351
111.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
191107
224.0 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.3 IPS |
|
|
Object Detection (HP)
|
100% |
13807
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18644
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
2922
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
35613
423.2 IPS |
|
|
Face Detection (Q)
|
100% |
50120
595.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5844
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
74949
577.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
127900
1000.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16717
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
185245
238.1 IPS |
|
|
Style Transfer (Q)
|
96% |
225782
291.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3828
141.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32914
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56084
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3067
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2562
3.42 KIPS |
|
|
Text Classification (Q)
|
93% |
2740
3.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2955
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5996
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6900
119.2 IPS |
