iPhone 14 Pro
Geekbench AI Score
3208
Single Precision Score
4880
Half Precision Score
4236
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 02:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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
271.2 IPS |
|
|
Image Classification (HP)
|
100% |
1902
353.6 IPS |
|
|
Image Classification (Q)
|
96% |
1476
275.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1225
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1847
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6300
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
14455
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12594
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
97% |
2273
180.9 IPS |
|
|
Object Detection (Q)
|
94% |
1737
138.4 IPS |
|
|
Face Detection (SP)
|
100% |
2771
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
4484
53.3 IPS |
|
|
Face Detection (Q)
|
100% |
2901
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5412
41.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
8659
66.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6572
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17169
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26879
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22479
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3807
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4798
177.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3710
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
2579
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4397
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
4327
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2581
44.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4552
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4537
78.4 IPS |
