iPhone 14 Pro
Geekbench AI Score
2418
Single Precision Score
12842
Half Precision Score
14798
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 01:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1234
229.6 IPS |
|
|
Image Classification (HP)
|
100% |
5895
1.10 KIPS |
|
|
Image Classification (Q)
|
97% |
6291
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5159
83.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9209
149.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6516
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
80686
94.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
85959
100.7 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
100% |
7265
576.2 IPS |
|
|
Object Detection (Q)
|
93% |
8263
659.3 IPS |
|
|
Face Detection (SP)
|
100% |
2294
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
10988
130.6 IPS |
|
|
Face Detection (Q)
|
100% |
12716
151.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4217
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
38812
299.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
50818
397.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11461
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
121175
155.8 IPS |
|
|
Style Transfer (Q)
|
96% |
115299
148.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3382
124.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16666
615.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20727
765.4 IPS |
|
|
Text Classification (SP)
|
100% |
1378
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3263
4.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1662
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2396
41.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2430
42.0 IPS |
