iPhone 14
Geekbench AI Score
1949
Single Precision Score
10719
Half Precision Score
6162
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | TheDogDR |
| Upload Date | October 10 2024 10:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.3.1 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
936
174.1 IPS |
|
|
Image Classification (HP)
|
100% |
4461
829.6 IPS |
|
|
Image Classification (Q)
|
94% |
4967
928.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3827
62.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5999
97.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5537
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
69475
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
74067
86.8 IPS |
|
|
Object Detection (SP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (HP)
|
99% |
5307
422.2 IPS |
|
|
Object Detection (Q)
|
93% |
6419
512.2 IPS |
|
|
Face Detection (SP)
|
100% |
1714
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
12646
150.3 IPS |
|
|
Face Detection (Q)
|
100% |
512
6.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
3182
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35750
275.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
41935
327.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10400
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
98494
126.6 IPS |
|
|
Style Transfer (Q)
|
25% |
3535
98.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2938
108.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13231
488.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13423
495.7 IPS |
|
|
Text Classification (SP)
|
100% |
1028
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2576
3.44 KIPS |
|
|
Text Classification (Q)
|
93% |
2531
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1379
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2097
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2161
37.3 IPS |
