iPhone 14
Geekbench AI Score
1888
Single Precision Score
10787
Half Precision Score
12075
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 11 2024 09:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
959
178.3 IPS |
|
|
Image Classification (HP)
|
100% |
4471
831.5 IPS |
|
|
Image Classification (Q)
|
96% |
5030
939.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3861
62.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6107
99.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5251
6.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
72865
85.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
76733
89.9 IPS |
|
|
Object Detection (SP)
|
100% |
942
74.7 IPS |
|
|
Object Detection (HP)
|
99% |
5478
435.8 IPS |
|
|
Object Detection (Q)
|
93% |
6897
550.3 IPS |
|
|
Face Detection (SP)
|
100% |
1617
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
10448
124.1 IPS |
|
|
Face Detection (Q)
|
100% |
12377
147.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3203
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
37153
286.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
43633
341.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9255
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
97213
125.0 IPS |
|
|
Style Transfer (Q)
|
95% |
89075
115.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2873
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13813
510.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15871
586.1 IPS |
|
|
Text Classification (SP)
|
100% |
1019
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2844
3.80 KIPS |
|
|
Text Classification (Q)
|
93% |
2501
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2090
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2124
36.7 IPS |
