iPhone 14
Geekbench AI Score
3316
Single Precision Score
17177
Half Precision Score
18695
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 04:51 PM |
| Views | 1 |
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% |
1366
254.1 IPS |
|
|
Image Classification (HP)
|
100% |
9449
1.76 KIPS |
|
|
Image Classification (Q)
|
96% |
10584
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7247
117.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7695
124.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6424
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
87874
102.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
94279
110.5 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.6 IPS |
|
|
Object Detection (HP)
|
99% |
10956
871.5 IPS |
|
|
Object Detection (Q)
|
91% |
11757
939.5 IPS |
|
|
Face Detection (SP)
|
100% |
2859
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
28357
336.9 IPS |
|
|
Face Detection (Q)
|
100% |
32533
386.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5560
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
53674
413.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
74533
582.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17660
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
155829
200.3 IPS |
|
|
Style Transfer (Q)
|
96% |
156040
201.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3926
145.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27013
997.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28757
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2382
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3467
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2253
38.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2230
38.5 IPS |
