iPhone 14
Geekbench AI Score
3168
Single Precision Score
19309
Half Precision Score
21691
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 07:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1356
252.2 IPS |
|
|
Image Classification (HP)
|
100% |
8831
1.64 KIPS |
|
|
Image Classification (Q)
|
96% |
9883
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12934
209.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13442
217.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6083
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
85033
99.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
94278
110.5 IPS |
|
|
Object Detection (SP)
|
100% |
1420
112.6 IPS |
|
|
Object Detection (HP)
|
99% |
10877
865.2 IPS |
|
|
Object Detection (Q)
|
91% |
11622
928.7 IPS |
|
|
Face Detection (SP)
|
100% |
2424
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
28870
343.0 IPS |
|
|
Face Detection (Q)
|
100% |
35923
426.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5209
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
54481
419.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
75088
586.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16629
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
154810
199.0 IPS |
|
|
Style Transfer (Q)
|
96% |
151326
195.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3771
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26895
993.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31564
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2401
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4638
79.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5122
88.5 IPS |
