iPhone 14 Pro
Geekbench AI Score
3484
Single Precision Score
23391
Half Precision Score
27254
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 03:18 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
10312
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
12075
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16236
263.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19228
311.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6419
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
99521
116.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
103963
121.9 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.6 IPS |
|
|
Object Detection (HP)
|
100% |
13042
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14953
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
31984
380.0 IPS |
|
|
Face Detection (Q)
|
100% |
41132
488.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6005
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
74964
577.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
97278
760.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18080
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
180644
232.2 IPS |
|
|
Style Transfer (Q)
|
96% |
180749
233.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4040
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32663
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37738
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2693
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2121
2.83 KIPS |
|
|
Text Classification (Q)
|
93% |
2721
3.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3613
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7521
129.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8438
145.8 IPS |
