iPhone 14 Pro
Geekbench AI Score
3514
Single Precision Score
22095
Half Precision Score
24370
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 06 2025 10:54 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1384
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
8967
1.67 KIPS |
|
|
Image Classification (Q)
|
97% |
11368
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15476
250.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18769
304.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6425
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
96633
112.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
101623
119.1 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
100% |
12161
964.6 IPS |
|
|
Object Detection (Q)
|
91% |
14158
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3059
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
30269
359.7 IPS |
|
|
Face Detection (Q)
|
100% |
39436
468.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5897
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
70653
544.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
87479
683.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18298
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
161363
207.4 IPS |
|
|
Style Transfer (Q)
|
96% |
166548
214.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4061
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33005
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36308
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2044
2.73 KIPS |
|
|
Text Classification (Q)
|
93% |
1396
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3718
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7304
125.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8266
142.9 IPS |
