iPhone 14 Pro
Geekbench AI Score
3561
Single Precision Score
22206
Half Precision Score
25516
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 04:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1404
261.2 IPS |
|
|
Image Classification (HP)
|
100% |
10081
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
12571
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14916
241.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18292
296.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7032
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
98309
114.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102830
120.5 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
100% |
12790
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14711
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3132
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
30328
360.4 IPS |
|
|
Face Detection (Q)
|
100% |
38752
460.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6250
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
76085
586.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
97980
766.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18874
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
168085
216.1 IPS |
|
|
Style Transfer (Q)
|
96% |
170373
219.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4284
158.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31498
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37031
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2630
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2333
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3461
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5582
96.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6019
104.0 IPS |
