iPhone 14 Pro
Geekbench AI Score
3292
Single Precision Score
4974
Half Precision Score
4108
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | August 24 2024 07:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1458
271.1 IPS |
|
|
Image Classification (HP)
|
100% |
1931
359.1 IPS |
|
|
Image Classification (Q)
|
99% |
1926
359.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1248
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6397
7.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
14814
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12535
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
97% |
2298
183.0 IPS |
|
|
Object Detection (Q)
|
94% |
1740
138.7 IPS |
|
|
Face Detection (SP)
|
100% |
2803
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
4553
54.1 IPS |
|
|
Face Detection (Q)
|
100% |
2917
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5571
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8798
68.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
4414
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17779
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27115
34.9 IPS |
|
|
Style Transfer (Q)
|
100% |
27207
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3895
143.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5175
191.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3715
137.6 IPS |
|
|
Text Classification (SP)
|
100% |
2613
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4412
5.89 KIPS |
|
|
Text Classification (Q)
|
93% |
4424
5.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2844
49.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4573
79.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4544
78.5 IPS |
