iPhone 15 Pro
Geekbench AI Score
5025
Single Precision Score
5985
Half Precision Score
5343
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Cifra45 |
| Upload Date | December 28 2024 09:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2185
406.3 IPS |
|
|
Image Classification (HP)
|
100% |
2372
441.2 IPS |
|
|
Image Classification (Q)
|
97% |
2079
388.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2899
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3752
60.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3775
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13301
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14156
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13341
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2531
200.8 IPS |
|
|
Object Detection (HP)
|
100% |
2799
222.1 IPS |
|
|
Object Detection (Q)
|
91% |
2388
190.8 IPS |
|
|
Face Detection (SP)
|
100% |
6402
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
8497
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
6108
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10979
84.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12046
92.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10432
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27440
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32204
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30499
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6007
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6433
237.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5043
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5500
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5456
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1280
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1420
24.5 IPS |
