iPhone 14
Geekbench AI Score
2931
Single Precision Score
4445
Half Precision Score
3817
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 10 2024 12:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1417
263.5 IPS |
|
|
Image Classification (HP)
|
100% |
1782
331.4 IPS |
|
|
Image Classification (Q)
|
96% |
1369
255.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1148
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1676
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5537
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
13176
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11106
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.6 IPS |
|
|
Object Detection (HP)
|
97% |
2068
164.6 IPS |
|
|
Object Detection (Q)
|
94% |
1578
125.8 IPS |
|
|
Face Detection (SP)
|
100% |
2398
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
3906
46.4 IPS |
|
|
Face Detection (Q)
|
100% |
2483
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4741
36.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
7735
59.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
5792
45.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15593
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24369
31.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20418
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3446
127.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4587
169.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3429
126.6 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3821
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3813
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2571
44.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4264
73.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4263
73.7 IPS |
