iPhone 14
Geekbench AI Score
3326
Single Precision Score
16848
Half Precision Score
18312
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 23 2024 02:56 AM |
| Views | 13 |
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% |
1362
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
8971
1.67 KIPS |
|
|
Image Classification (Q)
|
96% |
9712
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6825
110.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7576
122.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6455
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
85332
99.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
93331
109.4 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.5 IPS |
|
|
Object Detection (HP)
|
99% |
10698
851.0 IPS |
|
|
Object Detection (Q)
|
91% |
12105
967.2 IPS |
|
|
Face Detection (SP)
|
100% |
2864
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
27722
329.4 IPS |
|
|
Face Detection (Q)
|
100% |
31195
370.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5547
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
53221
410.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
72458
566.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17734
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
157279
202.2 IPS |
|
|
Style Transfer (Q)
|
96% |
152190
196.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3937
145.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27077
999.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27549
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2427
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (Q)
|
93% |
2455
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3487
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2250
38.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2193
37.9 IPS |
