iPhone 14
Geekbench AI Score
2945
Single Precision Score
3515
Half Precision Score
3088
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 01:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
643
119.6 IPS |
|
|
Image Classification (HP)
|
100% |
1034
192.3 IPS |
|
|
Image Classification (Q)
|
97% |
722
134.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2503
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11283
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12341
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11318
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (HP)
|
100% |
1352
107.2 IPS |
|
|
Object Detection (Q)
|
91% |
1184
94.6 IPS |
|
|
Face Detection (SP)
|
100% |
4051
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
6071
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
4163
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8385
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9291
71.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7257
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18671
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22689
29.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21395
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3870
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3495
129.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3024
111.7 IPS |
|
|
Text Classification (SP)
|
100% |
2432
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4074
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4065
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
372
6.40 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.45 IPS |
|
|
Machine Translation (Q)
|
98% |
411
7.10 IPS |
