iPhone 15 Pro
Geekbench AI Score
2700
Single Precision Score
14018
Half Precision Score
16027
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | mexa |
| Upload Date | August 27 2024 12:07 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1440
267.9 IPS |
|
|
Image Classification (HP)
|
100% |
6247
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
6889
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
818
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5223
84.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
5371
87.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7748
9.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
88423
103.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
127489
149.5 IPS |
|
|
Object Detection (SP)
|
100% |
1467
116.4 IPS |
|
|
Object Detection (HP)
|
100% |
8239
653.5 IPS |
|
|
Object Detection (Q)
|
93% |
9366
747.3 IPS |
|
|
Face Detection (SP)
|
100% |
2214
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
11170
132.7 IPS |
|
|
Face Detection (Q)
|
100% |
13958
165.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4603
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
43249
333.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
47757
369.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12184
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
128587
165.3 IPS |
|
|
Style Transfer (Q)
|
100% |
128554
165.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3842
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18305
675.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27679
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
1706
2.28 KIPS |
|
|
Text Classification (HP)
|
71% |
4282
6.16 KIPS |
|
|
Text Classification (Q)
|
69% |
4209
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1896
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2533
43.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2536
43.8 IPS |
