iPhone 14 Pro
Geekbench AI Score
3505
Single Precision Score
6179
Half Precision Score
5009
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | xplo |
| Upload Date | September 13 2025 06:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
2531
470.8 IPS |
|
|
Image Classification (Q)
|
96% |
1744
325.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2627
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6683
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
15277
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12780
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2913
231.9 IPS |
|
|
Object Detection (Q)
|
94% |
2060
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
3082
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
5992
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3448
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6053
46.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11540
89.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7943
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18475
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29481
37.9 IPS |
|
|
Style Transfer (Q)
|
96% |
24396
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4039
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5146
190.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3845
142.0 IPS |
|
|
Text Classification (SP)
|
100% |
2718
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4853
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4862
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3618
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6721
116.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6604
114.1 IPS |
