iPhone 14
Geekbench AI Score
3295
Single Precision Score
16570
Half Precision Score
18507
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1362
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
8678
1.61 KIPS |
|
|
Image Classification (Q)
|
96% |
9915
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6903
111.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7587
123.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6284
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
86765
101.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
93526
109.6 IPS |
|
|
Object Detection (SP)
|
100% |
1472
116.8 IPS |
|
|
Object Detection (HP)
|
99% |
10996
874.7 IPS |
|
|
Object Detection (Q)
|
91% |
12140
970.1 IPS |
|
|
Face Detection (SP)
|
100% |
2852
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
25001
297.1 IPS |
|
|
Face Detection (Q)
|
100% |
32505
386.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5521
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
52030
400.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
75356
588.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17388
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
157082
201.9 IPS |
|
|
Style Transfer (Q)
|
96% |
152673
197.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3866
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26215
968.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28956
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2339
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3466
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2229
38.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2179
37.7 IPS |
