iPhone 14 Pro
Geekbench AI Score
3900
Single Precision Score
4300
Half Precision Score
3779
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1644
305.7 IPS |
|
|
Image Classification (HP)
|
100% |
1550
288.3 IPS |
|
|
Image Classification (Q)
|
97% |
1393
259.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2499
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11635
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12432
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11377
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1953
154.9 IPS |
|
|
Object Detection (HP)
|
100% |
1939
153.8 IPS |
|
|
Object Detection (Q)
|
91% |
1570
125.5 IPS |
|
|
Face Detection (SP)
|
100% |
5438
64.6 IPS |
|
|
Face Detection (HP)
|
100% |
6159
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
4192
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8613
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9027
69.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7134
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20836
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23217
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21713
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4592
169.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4804
177.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3961
146.3 IPS |
|
|
Text Classification (SP)
|
100% |
2649
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4611
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4678
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
794
13.7 IPS |
