iPhone 14 Pro
Geekbench AI Score
3482
Single Precision Score
22926
Half Precision Score
26872
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 03:17 AM |
| Views | 9 |
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% |
1430
265.9 IPS |
|
|
Image Classification (HP)
|
100% |
10190
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
12178
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13945
226.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19152
310.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6443
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
99082
115.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105015
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
100% |
13281
1.05 KIPS |
|
|
Object Detection (Q)
|
91% |
15041
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
31873
378.7 IPS |
|
|
Face Detection (Q)
|
100% |
40930
486.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5997
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
74905
577.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
96392
753.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18043
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
165979
213.4 IPS |
|
|
Style Transfer (Q)
|
96% |
182684
235.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4014
148.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32620
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36881
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2201
2.94 KIPS |
|
|
Text Classification (Q)
|
93% |
2400
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7542
129.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8355
144.4 IPS |
