iPhone 15 Pro
Geekbench AI Score
3852
Single Precision Score
6723
Half Precision Score
5498
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | szityus |
| Upload Date | February 28 2025 01:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1704
316.8 IPS |
|
|
Image Classification (HP)
|
100% |
2943
547.3 IPS |
|
|
Image Classification (Q)
|
96% |
2013
376.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3084
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7688
8.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
15452
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13633
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1741
138.1 IPS |
|
|
Object Detection (HP)
|
97% |
3300
262.7 IPS |
|
|
Object Detection (Q)
|
94% |
2307
183.9 IPS |
|
|
Face Detection (SP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6766
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3791
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6702
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13235
102.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9078
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20219
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31206
40.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26376
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4629
170.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5605
207.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4275
157.8 IPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5521
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5486
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3132
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6073
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6078
105.0 IPS |
