iPhone 14
Geekbench AI Score
3325
Single Precision Score
16830
Half Precision Score
18818
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:20 AM |
| 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% |
1363
253.5 IPS |
|
|
Image Classification (HP)
|
100% |
7933
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
9801
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7138
115.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7657
124.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6459
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
87993
102.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
93765
109.9 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.7 IPS |
|
|
Object Detection (HP)
|
99% |
10399
827.2 IPS |
|
|
Object Detection (Q)
|
91% |
12177
973.0 IPS |
|
|
Face Detection (SP)
|
100% |
2771
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
28345
336.8 IPS |
|
|
Face Detection (Q)
|
100% |
35721
424.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5562
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
56307
433.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
78158
610.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17860
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
162791
209.3 IPS |
|
|
Style Transfer (Q)
|
96% |
162291
209.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3985
147.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26382
974.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29044
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2226
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3512
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2232
38.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2219
38.3 IPS |
