iPhone 14 Pro
Geekbench AI Score
3550
Single Precision Score
22986
Half Precision Score
26724
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 06:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1406
261.5 IPS |
|
|
Image Classification (HP)
|
100% |
10595
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
12871
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14761
239.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18092
293.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7106
8.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
98845
115.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
101449
118.9 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.9 IPS |
|
|
Object Detection (HP)
|
100% |
12852
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14495
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3086
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
30372
360.9 IPS |
|
|
Face Detection (Q)
|
100% |
39428
468.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6267
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
76011
585.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
97371
761.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18906
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
169538
217.9 IPS |
|
|
Style Transfer (Q)
|
96% |
171750
221.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4197
155.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31978
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38162
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2614
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2640
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3463
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7227
124.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8169
141.2 IPS |
