iPhone 14 Pro
Geekbench AI Score
3566
Single Precision Score
22090
Half Precision Score
25758
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | winzee |
| Upload Date | October 24 2024 04:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1441
267.9 IPS |
|
|
Image Classification (HP)
|
100% |
10317
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
12281
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13598
220.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18262
296.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7085
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
97562
113.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
101284
118.7 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
100% |
12922
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
15036
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3092
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
31191
370.6 IPS |
|
|
Face Detection (Q)
|
100% |
39568
470.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6370
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
74320
572.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
96627
755.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18936
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
165308
212.5 IPS |
|
|
Style Transfer (Q)
|
96% |
171694
221.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4222
155.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31472
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36895
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2621
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (Q)
|
93% |
2600
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3458
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5552
95.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5978
103.3 IPS |
