iPhone 14
Geekbench AI Score
3004
Single Precision Score
3196
Half Precision Score
3101
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 11:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
780
145.0 IPS |
|
|
Image Classification (HP)
|
100% |
625
116.2 IPS |
|
|
Image Classification (Q)
|
97% |
940
175.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2459
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2444
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11320
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12216
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11461
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.6 IPS |
|
|
Object Detection (HP)
|
100% |
1297
102.9 IPS |
|
|
Object Detection (Q)
|
91% |
1133
90.5 IPS |
|
|
Face Detection (SP)
|
100% |
4063
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
4542
54.0 IPS |
|
|
Face Detection (Q)
|
100% |
3748
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8133
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7841
60.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7507
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18846
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22749
29.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21197
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3875
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3633
134.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3119
115.2 IPS |
|
|
Text Classification (SP)
|
100% |
2391
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4097
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4097
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
98% |
362
6.26 IPS |
