iPhone 14
Geekbench AI Score
3221
Single Precision Score
19419
Half Precision Score
22020
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RafaelReverberi |
| Upload Date | November 10 2024 08:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1364
253.7 IPS |
|
|
Image Classification (HP)
|
100% |
8556
1.59 KIPS |
|
|
Image Classification (Q)
|
96% |
10660
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12119
196.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13492
218.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5754
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
87609
102.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
94108
110.3 IPS |
|
|
Object Detection (SP)
|
100% |
1424
112.9 IPS |
|
|
Object Detection (HP)
|
99% |
11335
901.7 IPS |
|
|
Object Detection (Q)
|
91% |
12226
976.9 IPS |
|
|
Face Detection (SP)
|
100% |
2808
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
26188
311.2 IPS |
|
|
Face Detection (Q)
|
100% |
34298
407.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5375
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
56789
437.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
73055
570.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16737
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
160160
205.9 IPS |
|
|
Style Transfer (Q)
|
96% |
162489
209.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3834
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27916
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29397
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2428
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2340
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4746
81.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5784
100.0 IPS |
