iPhone 14
Geekbench AI Score
3051
Single Precision Score
3236
Half Precision Score
3229
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
997
185.5 IPS |
|
|
Image Classification (HP)
|
100% |
639
118.9 IPS |
|
|
Image Classification (Q)
|
97% |
850
158.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2288
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2449
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11290
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12250
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11216
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.7 IPS |
|
|
Object Detection (HP)
|
100% |
1264
100.3 IPS |
|
|
Object Detection (Q)
|
91% |
1163
93.0 IPS |
|
|
Face Detection (SP)
|
100% |
3967
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
4595
54.6 IPS |
|
|
Face Detection (Q)
|
100% |
3996
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8183
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8667
66.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6878
53.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18938
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23124
29.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21318
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3654
134.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3694
136.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3095
114.3 IPS |
|
|
Text Classification (SP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4156
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4149
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
366
6.30 IPS |
|
|
Machine Translation (HP)
|
100% |
366
6.31 IPS |
|
|
Machine Translation (Q)
|
98% |
605
10.5 IPS |
