iPhone 14 Pro
Geekbench AI Score
3549
Single Precision Score
23411
Half Precision Score
25914
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 05:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1437
267.2 IPS |
|
|
Image Classification (HP)
|
100% |
10510
1.95 KIPS |
|
|
Image Classification (Q)
|
97% |
12463
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14731
238.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18194
294.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6961
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
95325
111.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
102114
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
12917
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
15254
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
3150
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
29928
355.6 IPS |
|
|
Face Detection (Q)
|
100% |
38039
452.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6167
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
75216
579.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
95833
749.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18833
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
167573
215.4 IPS |
|
|
Style Transfer (Q)
|
96% |
170985
220.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4215
155.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32087
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36668
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2607
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2900
3.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2047
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7393
127.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8266
142.8 IPS |
