iPhone 14 Pro
Geekbench AI Score
3509
Single Precision Score
23048
Half Precision Score
27067
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 04:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1398
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
10315
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
12338
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13784
223.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19268
312.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6919
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
98988
115.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104715
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
100% |
12959
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14946
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
31054
369.0 IPS |
|
|
Face Detection (Q)
|
100% |
40972
486.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6066
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
74801
576.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
95501
746.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19053
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
172248
221.4 IPS |
|
|
Style Transfer (Q)
|
96% |
176879
228.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4099
151.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35151
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37894
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2706
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2148
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2591
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3455
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7679
132.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8350
144.3 IPS |
