iPhone 15 Pro
Geekbench AI Score
4234
Single Precision Score
4820
Half Precision Score
1685
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | September 09 2024 11:43 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1739
323.3 IPS |
|
|
Image Classification (HP)
|
100% |
2196
408.3 IPS |
|
|
Image Classification (Q)
|
97% |
1816
339.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3144
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3906
63.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3981
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14960
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15961
18.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
14782
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
2982
236.6 IPS |
|
|
Object Detection (Q)
|
92% |
2415
192.7 IPS |
|
|
Face Detection (SP)
|
100% |
6744
80.1 IPS |
|
|
Face Detection (HP)
|
100% |
8678
103.1 IPS |
|
|
Face Detection (Q)
|
100% |
6131
72.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11539
88.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13146
101.3 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29272
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34948
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32651
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6297
232.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6876
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5540
204.6 IPS |
|
|
Text Classification (SP)
|
100% |
474
633.3 IPS |
|
|
Text Classification (HP)
|
100% |
506
675.1 IPS |
|
|
Text Classification (Q)
|
93% |
404
541.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1601
27.7 IPS |
