iPhone 15 Pro
Geekbench AI Score
5069
Single Precision Score
5982
Half Precision Score
5342
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Masatako123 |
| Upload Date | December 03 2024 11:44 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2016
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
2080
386.8 IPS |
|
|
Image Classification (Q)
|
97% |
1914
357.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3129
50.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3962
64.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4040
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15166
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15950
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14999
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2650
210.2 IPS |
|
|
Object Detection (HP)
|
100% |
3021
239.7 IPS |
|
|
Object Detection (Q)
|
91% |
2469
197.3 IPS |
|
|
Face Detection (SP)
|
100% |
6715
79.8 IPS |
|
|
Face Detection (HP)
|
100% |
9034
107.3 IPS |
|
|
Face Detection (Q)
|
100% |
6555
77.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11612
89.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12792
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
11040
86.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30092
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35802
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
34082
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6467
238.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6714
247.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5287
195.2 IPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5564
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5550
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
914
15.8 IPS |
