iPhone 14 Pro
Geekbench AI Score
3129
Single Precision Score
3454
Half Precision Score
3280
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | August 24 2024 07:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1273
236.7 IPS |
|
|
Image Classification (HP)
|
100% |
1425
265.0 IPS |
|
|
Image Classification (Q)
|
99% |
1627
303.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2507
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11578
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12073
14.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
11159
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1909
151.4 IPS |
|
|
Object Detection (HP)
|
100% |
1915
151.9 IPS |
|
|
Object Detection (Q)
|
92% |
1608
128.3 IPS |
|
|
Face Detection (SP)
|
100% |
5509
65.5 IPS |
|
|
Face Detection (HP)
|
100% |
6199
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
4056
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8679
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9284
71.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
9199
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20215
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22457
28.9 IPS |
|
|
Style Transfer (Q)
|
100% |
23005
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4559
168.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5154
190.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3950
146.3 IPS |
|
|
Text Classification (SP)
|
100% |
364
486.5 IPS |
|
|
Text Classification (HP)
|
100% |
510
680.6 IPS |
|
|
Text Classification (Q)
|
93% |
391
524.9 IPS |
|
|
Machine Translation (SP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
868
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1489
25.7 IPS |
