iPhone 14
Geekbench ML Score
4896
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 02:48 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
931
174.2 IPS |
|
|
Image Classification (F16)
|
100% |
5277
987.5 IPS |
|
|
Image Classification (I8)
|
99% |
4778
894.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1270
21.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1739
29.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1718
28.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
11087
13.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
74260
89.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
63893
77.4 IPS |
|
|
Object Detection (F32)
|
100% |
1276
95.3 IPS |
|
|
Object Detection (F16)
|
100% |
3407
254.4 IPS |
|
|
Object Detection (I8)
|
97% |
1196
89.3 IPS |
|
|
Face Detection (F32)
|
100% |
3618
43.0 IPS |
|
|
Face Detection (F16)
|
97% |
9778
116.3 IPS |
|
|
Face Detection (I8)
|
96% |
9434
112.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8830
68.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
34154
264.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
37432
290.3 IPS |
|
|
Style Transfer (F32)
|
100% |
19050
25.1 IPS |
|
|
Style Transfer (F16)
|
100% |
105825
139.2 IPS |
|
|
Style Transfer (I8)
|
100% |
108416
142.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2499
89.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15383
549.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13655
487.7 IPS |
|
|
Text Classification (F32)
|
100% |
371
533.2 IPS |
|
|
Text Classification (F16)
|
100% |
978
1.41 KIPS |
|
|
Text Classification (I8)
|
96% |
400
575.0 IPS |
|
|
Machine Translation (F32)
|
100% |
506
9.31 IPS |
|
|
Machine Translation (F16)
|
100% |
1278
23.5 IPS |
|
|
Machine Translation (I8)
|
99% |
504
9.28 IPS |
