iPhone 14 Pro
Geekbench AI Score
3566
Single Precision Score
22169
Half Precision Score
26885
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | kirdol |
| Upload Date | December 24 2024 10:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1423
264.7 IPS |
|
|
Image Classification (HP)
|
100% |
10226
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
13209
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13663
221.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18612
301.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7013
8.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
97647
113.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
103006
120.7 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
100% |
13000
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
15051
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
29804
354.1 IPS |
|
|
Face Detection (Q)
|
100% |
39217
466.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6196
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
76512
589.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
98173
767.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19026
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
168539
216.7 IPS |
|
|
Style Transfer (Q)
|
96% |
172483
222.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4235
156.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31568
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37673
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2629
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1852
2.47 KIPS |
|
|
Text Classification (Q)
|
93% |
2530
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3501
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7196
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8180
141.4 IPS |
