iPhone 15 Pro
Geekbench AI Score
4034
Single Precision Score
24320
Half Precision Score
33845
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | kirbalo |
| Upload Date | February 25 2025 04:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1678
312.1 IPS |
|
|
Image Classification (HP)
|
100% |
10736
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
14967
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15860
257.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20751
336.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8440
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
106286
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
205292
240.6 IPS |
|
|
Object Detection (SP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (HP)
|
100% |
13733
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18821
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3248
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
33911
402.9 IPS |
|
|
Face Detection (Q)
|
100% |
49636
589.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7206
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78379
603.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
129244
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21703
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203223
261.2 IPS |
|
|
Style Transfer (Q)
|
96% |
246380
317.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5169
190.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33992
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60527
2.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2571
3.43 KIPS |
|
|
Text Classification (Q)
|
93% |
2289
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3150
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6170
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7506
129.7 IPS |
