iPhone 14
Geekbench AI Score
3254
Single Precision Score
5589
Half Precision Score
4483
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 03:20 PM |
| Views | 1 |
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% |
1360
252.9 IPS |
|
|
Image Classification (HP)
|
100% |
2348
436.7 IPS |
|
|
Image Classification (Q)
|
96% |
1628
304.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1988
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2448
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6211
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
13617
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11506
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1435
113.8 IPS |
|
|
Object Detection (HP)
|
97% |
2700
215.0 IPS |
|
|
Object Detection (Q)
|
94% |
1909
152.2 IPS |
|
|
Face Detection (SP)
|
100% |
2798
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
5700
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3142
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5398
41.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10748
83.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6987
54.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16964
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26011
33.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21637
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3877
143.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4765
176.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3442
127.1 IPS |
|
|
Text Classification (SP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4106
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4061
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5565
96.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5646
97.6 IPS |
