iPhone 14
Geekbench AI Score
3203
Single Precision Score
5550
Half Precision Score
4456
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1356
252.2 IPS |
|
|
Image Classification (HP)
|
100% |
2373
441.3 IPS |
|
|
Image Classification (Q)
|
96% |
1638
306.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2377
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5936
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
13170
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11136
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.6 IPS |
|
|
Object Detection (HP)
|
97% |
2689
214.1 IPS |
|
|
Object Detection (Q)
|
94% |
1869
149.0 IPS |
|
|
Face Detection (SP)
|
100% |
2770
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
5580
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3074
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5231
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10861
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7399
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16814
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26085
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21569
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3762
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4643
171.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3445
127.2 IPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4095
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4078
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5543
95.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5534
95.6 IPS |
