iPhone 14 Pro
Geekbench AI Score
3869
Single Precision Score
4305
Half Precision Score
3790
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | danielmcfarland |
| Upload Date | December 26 2024 08:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1559
289.9 IPS |
|
|
Image Classification (HP)
|
100% |
1569
291.8 IPS |
|
|
Image Classification (Q)
|
97% |
1498
279.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2521
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2447
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11731
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12363
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11424
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1959
155.4 IPS |
|
|
Object Detection (HP)
|
100% |
1885
149.5 IPS |
|
|
Object Detection (Q)
|
91% |
1582
126.4 IPS |
|
|
Face Detection (SP)
|
100% |
4901
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
6128
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
4095
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8627
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9100
70.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7299
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21241
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23728
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22102
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4880
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4901
181.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3814
140.8 IPS |
|
|
Text Classification (SP)
|
100% |
2623
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4631
6.18 KIPS |
|
|
Text Classification (Q)
|
93% |
4613
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (Q)
|
98% |
796
13.8 IPS |
