iPhone 14
Geekbench AI Score
3181
Single Precision Score
3469
Half Precision Score
2994
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 08:02 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% |
1232
229.1 IPS |
|
|
Image Classification (HP)
|
100% |
1178
219.1 IPS |
|
|
Image Classification (Q)
|
97% |
605
112.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2464
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2418
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11402
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12289
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11406
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (HP)
|
100% |
1341
106.4 IPS |
|
|
Object Detection (Q)
|
91% |
1166
93.2 IPS |
|
|
Face Detection (SP)
|
100% |
4675
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
4637
55.1 IPS |
|
|
Face Detection (Q)
|
100% |
4018
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8119
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8607
66.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7481
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18981
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23056
29.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21411
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3738
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3654
134.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3119
115.2 IPS |
|
|
Text Classification (SP)
|
100% |
2383
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4188
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4056
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
370
6.38 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.45 IPS |
|
|
Machine Translation (Q)
|
98% |
366
6.33 IPS |
