iPhone 14 Pro
Geekbench AI Score
3182
Single Precision Score
3339
Half Precision Score
3082
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ragnarokchan |
| Upload Date | August 16 2024 02:13 AM |
| Views | 9 |
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% |
1542
286.8 IPS |
|
|
Image Classification (HP)
|
100% |
1628
302.8 IPS |
|
|
Image Classification (Q)
|
99% |
1628
303.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2490
40.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2500
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11486
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12253
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11005
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1896
150.4 IPS |
|
|
Object Detection (HP)
|
100% |
1865
147.9 IPS |
|
|
Object Detection (Q)
|
92% |
1479
118.1 IPS |
|
|
Face Detection (SP)
|
100% |
5177
61.5 IPS |
|
|
Face Detection (HP)
|
100% |
5954
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3849
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8408
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8810
67.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
8900
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20937
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23479
30.2 IPS |
|
|
Style Transfer (Q)
|
100% |
23688
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4625
170.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4959
183.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3726
138.1 IPS |
|
|
Text Classification (SP)
|
100% |
373
498.0 IPS |
|
|
Text Classification (HP)
|
100% |
363
484.7 IPS |
|
|
Text Classification (Q)
|
93% |
262
351.3 IPS |
|
|
Machine Translation (SP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1475
25.5 IPS |
