iPhone 14 Pro
Geekbench AI Score
3525
Single Precision Score
20869
Half Precision Score
22992
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 07 2024 07:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1440
267.7 IPS |
|
|
Image Classification (HP)
|
100% |
11145
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
13725
2.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12222
198.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13822
224.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6555
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
99325
115.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
103933
121.8 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (HP)
|
100% |
13055
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
15298
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
2886
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
32512
386.3 IPS |
|
|
Face Detection (Q)
|
100% |
41271
490.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6122
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75506
581.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
96579
755.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19162
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
178381
229.3 IPS |
|
|
Style Transfer (Q)
|
96% |
171420
221.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4307
159.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33281
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39129
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
2690
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2495
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2124
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3584
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2440
42.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2411
41.7 IPS |
