iPhone 14
Geekbench AI Score
3085
Single Precision Score
3203
Half Precision Score
2995
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JC_Coronel |
| Upload Date | December 09 2024 06:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1238
230.2 IPS |
|
|
Image Classification (HP)
|
100% |
660
122.7 IPS |
|
|
Image Classification (Q)
|
97% |
622
116.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2438
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11285
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12336
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11451
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1046
83.0 IPS |
|
|
Object Detection (HP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (Q)
|
91% |
1225
97.9 IPS |
|
|
Face Detection (SP)
|
100% |
4010
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
4650
55.3 IPS |
|
|
Face Detection (Q)
|
100% |
3905
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8190
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7870
60.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7171
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18970
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22678
29.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21170
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4162
153.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3546
130.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3028
111.8 IPS |
|
|
Text Classification (SP)
|
100% |
2404
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4064
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4038
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (HP)
|
100% |
365
6.28 IPS |
|
|
Machine Translation (Q)
|
98% |
377
6.52 IPS |
